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1Business models and supply chains for the circular economy
https://www.sciencedirect.com/science/article/abs/pii/S0959652618311867
a year ago by @ayabendjeroudib
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Business
and
chains
circular
economy
for
models
supply
the
Businessandchainscirculareconomyformodelssupplythe
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1Designing the Business Models for Circular Economy—Towards the Conceptual Framework
https://www.mdpi.com/2071-1050/8/1/43
a year ago by @ayabendjeroudib
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Business
Circular
Conceptual
Designing
Economy—Towards
Framework
Models
for
the
BusinessCircularConceptualDesigningEconomy—TowardsFrameworkModelsforthe
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1tomotopy
tomotopy is a Python extension of tomoto (Topic Modeling Tool) which is a Gibbs-sampling based topic model library written in C++. It utilizes a vectorization of modern CPUs for maximizing speed. The current version of tomoto supports several major topic models including
3 years ago by @bsc
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models
python
topic
modelspythontopic
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1GitHub - deepset-ai/FARM: Fast & easy transfer learning for NLP.
Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering. - deepset-ai/FARM
4 years ago by @schwemmlein
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code
deepset
farm
language
lm
models
nlp
qa
repo
transfer
codedeepsetfarmlanguagelmmodelsnlpqarepotransfer
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1The Slodderwetenschap (Sloppy Science) of Stochastic Parrots
https://michael-lissack.medium.com/the-slodderwetenschap-sloppy-science-of-stochastic-parrots-a-plea-for-science-to-not-take-the-b74fcf50dcce
4 years ago by @schwemmlein
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ethics
google
language
lm
models
ethicsgooglelanguagelmmodels
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1We read the paper that forced Timnit Gebru out of Google.
https://www.technologyreview.com/2020/12/04/1013294/google-ai-ethics-research-paper-forced-out-timnit-gebru/
4 years ago by @schwemmlein
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ethics
google
language
lm
models
ethicsgooglelanguagelmmodels
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1Responsible AI: The importance of addressing bias in artificial intelligence
https://www.luminoso.com/post/responsible-ai
4 years ago by @schwemmlein
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ai
bias
language
lm
models
aibiaslanguagelmmodels
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1StereoSet measures racism, sexism, and other forms of bias in AI language models | VentureBeat
https://venturebeat.com/2020/04/22/stereoset-measures-racism-sexism-and-other-forms-of-bias-in-ai-language-models/
4 years ago by @schwemmlein
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bias
dataset
language
lm
models
nlp
biasdatasetlanguagelmmodelsnlp
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1blog/03_reformer.ipynb at master · huggingface/blog
https://github.com/huggingface/blog/blob/master/notebooks/03_reformer.ipynb
4 years ago by @festplatte
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masterthesis
models
reformer
masterthesismodelsreformer
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1adbar/German-NLP: Curated list of open-access/open-source/off-the-shelf resources and tools developed with a particular focus on German
https://github.com/adbar/German-NLP
4 years ago by @festplatte
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dataset
german
masterthesis
models
datasetgermanmasterthesismodels
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1NLP Language Models BERT, GPT2/3, T-NLG: Changing the rules of the game | by Vineet Jaiswal | Analytics Vidhya | Aug, 2020 | Medium
https://medium.com/analytics-vidhya/nlp-language-models-bert-gpt2-t-nlg-changing-the-rules-of-the-game-3334b23020a9
4 years ago by @festplatte
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lm
masterthesis
models
lmmasterthesismodels
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1Generating Large Images from Latent Vectors | 大トロ
http://blog.otoro.net/2016/04/01/generating-large-images-from-latent-vectors/
6 years ago by @becker
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latent
vectors
generative
model
models
auto
encoder
autoencoder
variational
va
latentvectorsgenerativemodelmodelsautoencoderautoencodervariationalva
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1ModelDepot - Open, Transparent Machine Learning for Engineers
https://modeldepot.io/browse
6 years ago by @albinzehe
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classification
models
neuralnet
resource
classificationmodelsneuralnetresource
(0)
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1GitHub - RaRe-Technologies/gensim-data: Data repository for pretrained NLP models and NLP corpora.
Data repository for pretrained NLP models and NLP corpora. - RaRe-Technologies/gensim-data
6 years ago by @schwemmlein
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dataset
embeddings
gensim
glove
models
nlp
w2v
word
datasetembeddingsgensimglovemodelsnlpw2vword
(0)
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1lda2vec – flexible & interpretable NLP models — lda2vec 0.01 documentation
http://lda2vec.readthedocs.io/en/latest/?badge=latest
6 years ago by @schwemmlein
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code
documentation
embedding
lda
lda2vec
models
nlp
plugin
python
topic
w2v
word
word2vec
codedocumentationembeddingldalda2vecmodelsnlppluginpythontopicw2vwordword2vec
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1How to easily do Topic Modeling with LSA, PSLA, LDA & lda2Vec
In natural language understanding, there is a hierarchy of lenses through which we can extract meaning - from words to sentences to paragraphs to documents. At the document level, one of the most useful ways to understand text is by analyzing its topics.
6 years ago by @schwemmlein
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embeddings
lda
lda2vec
models
nlp
topic
word
word2vec
embeddingsldalda2vecmodelsnlptopicwordword2vec
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1Probabilistic Graphical Models
http://openclassroom.stanford.edu/MainFolder/CoursePage.php?course=ProbabilisticGraphicalModels
7 years ago by @becker
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graphical
model
models
tutorial
course
probabilistic
video
videos
class
graphicalmodelmodelstutorialcourseprobabilisticvideovideosclass
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1ParlAI
http://parl.ai/
7 years ago by @nosebrain
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dialog
models
parlai
dialogmodelsparlai
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1An overview of word embeddings and their connection to distributional semantic models
http://blog.aylien.com/overview-word-embeddings-history-word2vec-cbow-glove/
7 years ago by @schwemmlein
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distributional
embeddings
history
models
nlp
overview
paper_nc
semantic
word
distributionalembeddingshistorymodelsnlpoverviewpaper_ncsemanticword
(0)
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1[1802.09360] A surge of light at the birth of a supernova
https://arxiv.org/abs/1802.09360
7 years ago by @miki
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SN
birth
explosion
models
SNbirthexplosionmodels
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3It's Not You, It's Me: The Impact of Choice Models and Ranking Strategies on Gender Imbalance in Music Recommendation
A. Ferraro, M. Ekstrand, and C. Bauer. Proceedings of the 18th ACM Conference on Recommender Systems, page 884–889. New York, NY, USA, Association for Computing Machinery, (Oct 8, 2024)
11 days ago by @bauerc
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bias
choice
fairness
gender
models
music
myown
recommender
recsys
strategies
biaschoicefairnessgendermodelsmusicmyownrecommenderrecsysstrategies
(0)
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1Exploring financing models for clean energy adoption: Lessons from the United States and Nigeria
P. Oduro, P. Simpa, and D. Ekechukwu. Global Journal of Engineering and Technology Advances, 19 (2): 154–168 (September 2024)
29 days ago by @gjetajournal
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Financing
Models
FinancingModels
(0)
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1Experimental Study for Efficiency of Natural and Modified Seagrass as Low Cost Adsorbent for Removal Malachite Green Dye
N. Atibeni. INTERNATIONAL JOURNAL OF TREND IN SCIENTIFIC RESEARCH AND DEVELOPMENT, 8 (2): 594-601 (April 2024)
3 months ago by @ijtsrd
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Adsorption,
Green,
Malachite
Seagrass,
adsorbent,
isotherm
kinetics,
models
Adsorption,Green,MalachiteSeagrass,adsorbent,isothermkinetics,models
(0)
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2Mixtral of Experts
A. Jiang, A. Sablayrolles, A. Roux, A. Mensch, B. Savary, C. Bamford, D. Chaplot, D. de las Casas, E. Hanna, F. Bressand and 16 other author(s). (2024)
4 months ago by @eduardok
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llm
models
llmmodels
(0)
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1Lateral Logic Challenges: Assessing the Limitations of AI in Creative Problem-Solving
S. Khan, M. Atsuko, and F. Mateus. (2024)
4 months ago by @fabledsky
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AI
Awareness
Cognitive
Contextual
Creative
Double
Factorial
Flexibility
Heuristic-Based
Language
Large
Lateral
Limitations
Logic
Models
Problem-Solving
Reasoning
Test
Turing
myown
AIAwarenessCognitiveContextualCreativeDoubleFactorialFlexibilityHeuristic-BasedLanguageLargeLateralLimitationsLogicModelsProblem-SolvingReasoningTestTuringmyown
(0)
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1Evaluating the fairness of credit scoring models: A literature review on mortgage accessibility for under-reserved populations
T. Adegoke, O. Ofodile, N. Ochuba, and O. Akinrinola. GSC Advanced Research and Reviews, 18 (3): 189–199 (May 2024)
5 months ago by @gscarrjournal
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Credit
models
scoring
Creditmodelsscoring
(0)
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1Predicting stock market movements using neural networks: A review and application study
O. Akinrinola, W. Addy, A. Ajayi-Nifise, O. Odeyemi, and T. Falaiye. GSC Advanced Research and Reviews, 18 (2): 297–311 (May 2024)
5 months ago by @gscarrjournal
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Models
Network
Neural
ModelsNetworkNeural
(0)
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2115 years of sediment deposition in a reservoir in Central Europe: Topographic change detection
G. Stauch, L. Dörwald, A. Esch, and J. Walk. 49 (2): 582--600 (2024)
8 months ago by @gstauch
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Central
Europe
aerial
budget
change
detection
digital
elevation
flood
geomorphic
models
myown
reservoir
sediment
sediments
system
unmanned
CentralEuropeaerialbudgetchangedetectiondigitalelevationfloodgeomorphicmodelsmyownreservoirsedimentsedimentssystemunmanned
(0)
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1YOUTH ON EMPLOYMENT AND JOB CREATION IN AFRICAN COUNTRIES: OPPORTUNITIES, CHALLENGES, CHARACTERISTICS DETERMINANTS AND PERFORMANCE OF SELF-EMPLOYMENT AMONG THE YOUTH IN AFRICAN COUNTRIES
S. |. CENTRAL ASIAN JOURNAL OF MATHEMATICAL THEORY AND COMPUTER SCIENCES, 4 (7): 27-41 (July 2023)
8 months ago by @centralasian_20
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Binary
Models
Multivariate
Probit
Self-employment,
Uganda,
Youth,
and
BinaryModelsMultivariateProbitSelf-employment,Uganda,Youth,and
(0)
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4Unifying Large Language Models and Knowledge Graphs: A Roadmap
S. Pan, L. Luo, Y. Wang, C. Chen, J. Wang, and X. Wu. (2024)
9 months ago by @hotho
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KG
knowledge
language
large
models
KGknowledgelanguagelargemodels
(0)
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1Modeling the response of winter wheat phenology to low temperature stress at elongation and booting stages
L. Xiao, B. Liu, H. Zhang, J. Gu, T. Fu, S. Asseng, L. Liu, L. Tang, W. Cao, and Y. Zhu. Agricultural and Forest Meteorology, (2021)
a year ago by @lirongyou
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crop
models
vernalization
cropmodelsvernalization
(0)
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1Designing future barley ideotypes using a crop model ensemble
F. Tao, R. Rötter, T. Palosuo, C. Díaz-Ambrona, M. Mínguez, M. Semenov, K. Kersebaum, C. Nendel, D. Cammarano, H. Hoffmann and 11 other author(s). European Journal of Agronomy, (2017)
a year ago by @lirongyou
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crop
models
vernalization
cropmodelsvernalization
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1Modelling the effects of heat stress on post-heading durations in wheat: A comparison of temperature response routines
B. Liu, L. Liu, S. Asseng, X. Zou, J. Li, W. Cao, and Y. Zhu. Agricultural and Forest Meteorology, (2016)
a year ago by @lirongyou
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crop
heat
models
cropheatmodels
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2Prescriptive Analytics: When Data- and Simulation-based Models Interact in a Cooperative Way
M. Affenzeller, M. Bögl, L. Fischer, F. Sobieczky, K. Yang, and J. Zenisek. 2022 24th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), page 1-8. (September 2022)
a year ago by @scch
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cooperative
deep-learning
interact
models
simulation
cooperativedeep-learninginteractmodelssimulation
(0)
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1Language Models for Procedural Content Generation
M. Awiszus, A. Dockhorn, A. Hoover, A. Liapis, S. Lucas, M. Eladhari, J. Schrum, and V. Volz. Human-Game AI Interaction (Dagstuhl Seminar 22251), 12 (6): 34-37 (January 2023)
a year ago by @tntl3s
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Language
Models
leibnizailab
myown
LanguageModelsleibnizailabmyown
(0)
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1The application of Pennes’ bioheat equation to determine the effect of temperature on drug diffusion
K. Bunonyo, and P. Awomi. World Journal of Biology Pharmacy and Health Sciences, 13 (3): 001–011 (March 2023)
a year ago by @wjbphsjournal
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Mathematical
Models
MathematicalModels
(0)
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1Temperature effect on drug diffusion in the stomach and bloodstream compartments
K. Bunonyo, L. Ebiwareme, and P. Awomi. World Journal of Biology Pharmacy and Health Sciences, 13 (2): 178–188 (February 2023)
a year ago by @wjbphsjournal
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Mathematical
Models
MathematicalModels
(0)
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1Learning Local Forward Models on Unforgiving Games
A. Dockhorn, S. Lucas, V. Volz, I. Bravi, R. Gaina, and D. Perez-Liebana. 2019 IEEE Conference on Games (CoG), (August 2019)
2 years ago by @tntl3s
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Forward
Learning
Local
Models
leibnizailab
myown
ForwardLearningLocalModelsleibnizailabmyown
(0)
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1Comparative analysis of three approaches for rater agreement.
M. Ato, A. Benavente, and J. López. Psicothema, 18 (3): 638-45 (August 2006)6335<m:linebreak></m:linebreak>PT: J; NR: 41; TC: 2; J9: PSICOTHEMA; PG: 8; GA: 064QO; UT: WOS:000239104400046;<m:linebreak></m:linebreak>Mesures de concordància.
2 years ago by @jepcastel
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DataInterpretation
Humans
Models
ObserverVariation
Psychological
Psychology
Psychology:methods
Psychology:statistics&numericaldata
Statistical
DataInterpretationHumansModelsObserverVariationPsychologicalPsychologyPsychology:methodsPsychology:statistics&numericaldataStatistical
(0)
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1Assessment of excess risks in case-base studies.
M. Nurminen. Journal of clinical epidemiology, 45 (10): 1081-92 (October 1992)6843<m:linebreak></m:linebreak>LR: 20041117; JID: 8801383; ppublish;<m:linebreak></m:linebreak>Dissenys híbrids.
2 years ago by @jepcastel
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Case-ControlStudies
EpidemiologicMethods
Humans
Models
OddsRatio
PoissonDistribution
RiskFactors
Statistical
Case-ControlStudiesEpidemiologicMethodsHumansModelsOddsRatioPoissonDistributionRiskFactorsStatistical
(0)
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1Adaptive designs: looking for a needle in the haystack-a new challenge in medical research.
P. Bauer. Statistics in medicine, 27 (10): 1565-80 (May 2008)4584<m:linebreak></m:linebreak>PUBM: Print; JID: 8215016; ppublish;<m:linebreak></m:linebreak>Tipus d'estudis; Dissenys adaptatius.
2 years ago by @jepcastel
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BiomedicalResearch
BiomedicalResearch:methods
BiomedicalResearch:statistics&numericaldata
Biometry
Biometry:methods
ClinicalTrialsasTopic
ClinicalTrialsasTopic:methods
ComputerSimulation
DataInterpretation
Humans
LikelihoodFunctions
Models
ROCCurve
ResearchDesign
Statistical
BiomedicalResearchBiomedicalResearch:methodsBiomedicalResearch:statistics&numericaldataBiometryBiometry:methodsClinicalTrialsasTopicClinicalTrialsasTopic:methodsComputerSimulationDataInterpretationHumansLikelihoodFunctionsModelsROCCurveResearchDesignStatistical
(0)
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1Probability logic and probabilistic induction.
S. Greenland. Epidemiology (Cambridge, Mass.), 9 (3): 322-32 (May 1998)2502<m:linebreak></m:linebreak>Comment in: Epidemiology 1998 May;9(3):233;.
2 years ago by @jepcastel
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EpidemiologicStudies
Humans
Logic
Models
ProbabilityTheory
ResearchDesign
Statistical
EpidemiologicStudiesHumansLogicModelsProbabilityTheoryResearchDesignStatistical
(0)
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1Curtailed two-stage designs in Phase II clinical trials.
Y. Chi, and C. Chen. Statistics in medicine, 27 (29): 6175-89 (December 2008)5263<m:linebreak></m:linebreak>LR: 20090730; JID: 8215016; 0 (Antineoplastic Agents); 33419-42-0 (Etoposide); ppublish;<m:linebreak></m:linebreak>Fase II.
2 years ago by @jepcastel
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AntineoplasticAgents
AntineoplasticAgents:adverseeffects
AntineoplasticAgents:therapeuticuse
Biometry
Biometry:methods
ClinicalTrials
DrugDiscovery
DrugDiscovery:statistics&numericaldata
Etoposide
Etoposide:adverseeffects
Etoposide:therapeuticuse
Humans
Kaposi
Kaposi:drugtherapy
Lymphoma
Mantle-Cell
Mantle-Cell:drugtherapy
Models
PhaseIIasTopic
PhaseIIasTopic:statistics&numericaldata
Sarcoma
Statistical
StochasticProcesses
TreatmentOutcome
AntineoplasticAgentsAntineoplasticAgents:adverseeffectsAntineoplasticAgents:therapeuticuseBiometryBiometry:methodsClinicalTrialsDrugDiscoveryDrugDiscovery:statistics&numericaldataEtoposideEtoposide:adverseeffectsEtoposide:therapeuticuseHumansKaposiKaposi:drugtherapyLymphomaMantle-CellMantle-Cell:drugtherapyModelsPhaseIIasTopicPhaseIIasTopic:statistics&numericaldataSarcomaStatisticalStochasticProcessesTreatmentOutcome
(0)
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1Limitations of the case-only design for identifying gene-environment interactions.
P. Albert, D. Ratnasinghe, J. Tangrea, and S. Wacholder. American journal of epidemiology, 154 (8): 687-93 (October 2001)3667<m:linebreak></m:linebreak>Epidemiologia genètica.
2 years ago by @jepcastel
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Case-ControlStudies
Environment
EpidemiologicMethods
Genetics
Humans
LungNeoplasms
Medical
Models
SensitivityandSpecificity
Theoretical
Case-ControlStudiesEnvironmentEpidemiologicMethodsGeneticsHumansLungNeoplasmsMedicalModelsSensitivityandSpecificityTheoretical
(0)
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1Sample size and power.
J. Haas. American journal of infection control, 40 (8): 766-7 (October 2012)7564<m:linebreak></m:linebreak>CI: Copyright (c) 2012; JID: 8004854; 2012/05/29 received; 2012/05/29 accepted; ppublish;<m:linebreak></m:linebreak>Sample size; Infeccioses; Introductori.
2 years ago by @jepcastel
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DataInterpretation
Humans
Models
Probability
ResearchDesign
SampleSize
Software
Statistical
DataInterpretationHumansModelsProbabilityResearchDesignSampleSizeSoftwareStatistical
(0)
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1The problem of multiple testing.
K. Sainani. PM & R : the journal of injury, function, and rehabilitation, 1 (12): 1098-103 (December 2009)5645<m:linebreak></m:linebreak>JID: 101491319; 2009/10/09 received; 2009/10/09 accepted; ppublish;<m:linebreak></m:linebreak>Comparacions múltiples.
2 years ago by @jepcastel
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DataInterpretation
FalsePositiveReactions
Models
Probability
ResearchDesign
ResearchDesign:standards
Statistical
DataInterpretationFalsePositiveReactionsModelsProbabilityResearchDesignResearchDesign:standardsStatistical
(0)
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1Estimating the impact of risk factor modification programs.
W. Browner. American journal of epidemiology, 123 (1): 143-53 (January 1986)3194<m:linebreak></m:linebreak>Risc atribuïble.
2 years ago by @jepcastel
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Adult
Biological
Cholesterol
Cholesterol:blood
CoronaryDisease
CoronaryDisease:prevention&control
Epidemiology
Humans
LungNeoplasms
LungNeoplasms:epidemiology
LungNeoplasms:prevention&control
Male
MiddleAged
Models
PrimaryPrevention
Risk
Smoking
UnitedStates
AdultBiologicalCholesterolCholesterol:bloodCoronaryDiseaseCoronaryDisease:prevention&controlEpidemiologyHumansLungNeoplasmsLungNeoplasms:epidemiologyLungNeoplasms:prevention&controlMaleMiddleAgedModelsPrimaryPreventionRiskSmokingUnitedStates
(0)
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1Choosing marginal or random-effects models for longitudinal binary responses: application to self-reported disability among older persons.
I. Carrière, and J. Bouyer. BMC medical research methodology, 2 (1): 15 (December 2002)2921<m:linebreak></m:linebreak>Mixed models.
2 years ago by @jepcastel
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80andover
ActivitiesofDailyLiving
Aged
DisabilityEvaluation
Female
Humans
LongitudinalStudies
Models
MultivariateAnalysis
Questionnaires
RiskFactors
SelfConcept
Statistical
80andoverActivitiesofDailyLivingAgedDisabilityEvaluationFemaleHumansLongitudinalStudiesModelsMultivariateAnalysisQuestionnairesRiskFactorsSelfConceptStatistical
(0)
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1P values: use and misuse in medical literature.
H. Cohen. American journal of hypertension, 24 (1): 18-23 (January 2011)5951<m:linebreak></m:linebreak>GR: KL2 RR 025749/RR/NCRR NIH HHS/United States; GR: TL1 RR 025748/RR/NCRR NIH HHS/United States; GR: UL1 RR 025750/RR/NCRR NIH HHS/United States; JID: 8803676; 2010/10/21 aheadofprint; ppublish; Molt bo!<m:linebreak></m:linebreak>Significació estadística.
2 years ago by @jepcastel
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Animals
ConfidenceIntervals
DataInterpretation
Humans
Models
Probability
ResearchDesign
Statistical
AnimalsConfidenceIntervalsDataInterpretationHumansModelsProbabilityResearchDesignStatistical
(0)
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1Real longitudinal data analysis for real people: building a good enough mixed model.
J. Cheng, L. Edwards, M. Maldonado-Molina, K. Komro, and K. Muller. Statistics in medicine, 29 (4): 504-20 (February 2010)5490<m:linebreak></m:linebreak>CP: Copyright © 2009 John Wiley & Sons, Ltd.; PN: 0277-6715;<m:linebreak></m:linebreak>Mixed models.
2 years ago by @jepcastel
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Adolescent
AfricanAmericans
AfricanAmericans:statistics&numericaldata
AlcoholDrinking
AlcoholDrinking:prevention&control
Chicago
Child
EuropeanContinentalAncestryGroup
EuropeanContinentalAncestryGroup:statistics&
HispanicAmericans
HispanicAmericans:statistics&numericaldata
Humans
LinearModels
LongitudinalStudies
Models
MultivariateAnalysis
RandomizedControlledTrialsasTopic:statistics
Statistical
RCT
AdolescentAfricanAmericansAfricanAmericans:statistics&numericaldataAlcoholDrinkingAlcoholDrinking:prevention&controlChicagoChildEuropeanContinentalAncestryGroupEuropeanContinentalAncestryGroup:statistics&HispanicAmericansHispanicAmericans:statistics&numericaldataHumansLinearModelsLongitudinalStudiesModelsMultivariateAnalysisRandomizedControlledTrialsasTopic:statisticsStatisticalRCT
(0)
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1Benefit-risk analysis : a brief review and proposed quantitative approaches.
W. Holden. Drug safety : an international journal of medical toxicology and drug experience, 26 (12): 853-62 (January 2003)3513<m:linebreak></m:linebreak>Relació benefici/risc.
2 years ago by @jepcastel
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Drug-RelatedSideEffectsandAdverseReactions
DrugTherapy
DrugTherapy:standards
EvaluationStudiesasTopic
Humans
MarkovChains
Models
RiskAssessment
RiskAssessment:methods
Statistical
Drug-RelatedSideEffectsandAdverseReactionsDrugTherapyDrugTherapy:standardsEvaluationStudiesasTopicHumansMarkovChainsModelsRiskAssessmentRiskAssessment:methodsStatistical
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1Técnicas de regresión: regresión lineal múltiple
S. Pértega, and S. Pita. Cadernos de Atención Primaria, (2000)Anàlisi de dades.
2 years ago by @jepcastel
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MODELS
MULTIVARIATEANALYSIS
REGRESSIONANALYSIS
STATISTICAL
URL
MODELSMULTIVARIATEANALYSISREGRESSIONANALYSISSTATISTICALURL
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1Variance calculations and confidence intervals for estimates of the attributable risk based on logistic models.
J. Benichou, and M. Gail. Biometrics, 46 (4): 991-1003 (December 1990)3202<m:linebreak></m:linebreak>Risc atribuïble.
2 years ago by @jepcastel
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AlcoholDrinking
AnalysisofVariance
Disease
Disease:etiology
EsophagealNeoplasms
EsophagealNeoplasms:etiology
Humans
Mathematics
Models
RiskFactors
Smoking
Statistical
AlcoholDrinkingAnalysisofVarianceDiseaseDisease:etiologyEsophagealNeoplasmsEsophagealNeoplasms:etiologyHumansMathematicsModelsRiskFactorsSmokingStatistical
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1Implementation of G-computation on a simulated data set: demonstration of a causal inference technique.
J. Snowden, S. Rose, and K. Mortimer. American journal of epidemiology, 173 (7): 731-8 (April 2011)6073<m:linebreak></m:linebreak>JID: 7910653; aheadofprint;.
2 years ago by @jepcastel
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Causality
ComputerSimulation
ConfoundingFactors(Epidemiology)
EpidemiologicResearchDesign
Humans
Models
RegressionAnalysis
Statistical
CausalityComputerSimulationConfoundingFactors(Epidemiology)EpidemiologicResearchDesignHumansModelsRegressionAnalysisStatistical
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1Some old and some new statistical tools for outcomes research.
S. Normand. Circulation, 118 (8): 872-84 (August 2008)4708<m:linebreak></m:linebreak>GR: R01-MH054693/MH/NIMH NIH HHS/United States; GR: R01-MH061434/MH/NIMH NIH HHS/United States; JID: 0147763; RF: 49; NIHMS46125; OID: NLM: NIHMS46125 Available on 02/19/09; OID: NLM: PMC2535854 Available on 02/19/09; ppublish;<m:linebreak></m:linebreak>Mesures d'associació; Variables instrumentals; Propensity score; Dades censurades.
2 years ago by @jepcastel
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BiomedicalResearch
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ClusterAnalysis
ConfoundingFactors(Epidemiology)
DataInterpretation
Humans
Models
Statistical
StatisticsasTopic
StatisticsasTopic:methods
StatisticsasTopic:standards
TreatmentOutcome
BiomedicalResearchBiomedicalResearch:statistics&numericaldataClusterAnalysisConfoundingFactors(Epidemiology)DataInterpretationHumansModelsStatisticalStatisticsasTopicStatisticsasTopic:methodsStatisticsasTopic:standardsTreatmentOutcome
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2Selection of important variables and determination of functional form for continuous predictors in multivariable model building.
W. Sauerbrei, P. Royston, and H. Binder. Statistics in medicine, 26 (30): 5512-28 (December 2007)4592<m:linebreak></m:linebreak>CI: Copyright (c) 2007; JID: 8215016; 0 (Antineoplastic Agents); ppublish;<m:linebreak></m:linebreak>Anàlisi de dades.
2 years ago by @jepcastel
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AlcoholDrinking
AlcoholDrinking:adverseeffects
AntineoplasticAgents
AntineoplasticAgents:therapeuticuse
BrainNeoplasms
BrainNeoplasms:drugtherapy
BrainNeoplasms:mortality
ClusterAnalysis
ConfidenceIntervals
DataInterpretation
EpidemiologicResearchDesign
Glioma
Glioma:drugtherapy
Glioma:mortality
Models
MouthNeoplasms
MouthNeoplasms:etiology
MultivariateAnalysis
PredictiveValueofTests
Prognosis
RegressionAnalysis
ReproducibilityofResults
ResearchDesign
Statistical
SurvivalAnalysis
UnitedStates
AlcoholDrinkingAlcoholDrinking:adverseeffectsAntineoplasticAgentsAntineoplasticAgents:therapeuticuseBrainNeoplasmsBrainNeoplasms:drugtherapyBrainNeoplasms:mortalityClusterAnalysisConfidenceIntervalsDataInterpretationEpidemiologicResearchDesignGliomaGlioma:drugtherapyGlioma:mortalityModelsMouthNeoplasmsMouthNeoplasms:etiologyMultivariateAnalysisPredictiveValueofTestsPrognosisRegressionAnalysisReproducibilityofResultsResearchDesignStatisticalSurvivalAnalysisUnitedStates
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1Systematic reviews of studies quantifying the accuracy of diagnostic tests and markers.
J. Reitsma, K. Moons, P. Bossuyt, and K. Linnet. Clinical chemistry, 58 (11): 1534-45 (November 2012)7294<m:linebreak></m:linebreak>CI: (c) 2012; JID: 9421549; 2012/09/18 aheadofprint; ppublish;<m:linebreak></m:linebreak>Proves diagnòstiques; Metaanàlisi.
2 years ago by @jepcastel
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ClinicalLaboratoryTechniques
ClinicalLaboratoryTechniques:standards
ClinicalLaboratoryTechniques:statistics&numer
HealthCare
Humans
Meta-AnalysisasTopic
Models
QualityAssurance
RegressionAnalysis
SensitivityandSpecificity
Statistical
ClinicalLaboratoryTechniquesClinicalLaboratoryTechniques:standardsClinicalLaboratoryTechniques:statistics&numerHealthCareHumansMeta-AnalysisasTopicModelsQualityAssuranceRegressionAnalysisSensitivityandSpecificityStatistical
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1Model for the analysis of binary time series of respiratory symptoms.
H. Zhang, E. Triche, and B. Leaderer. American journal of epidemiology, 151 (12): 1206-15 (June 2000)4421<m:linebreak></m:linebreak>LR: 20071114; PUBM: Print; GR: ES05410/ES/United States NIEHS; GR: HD30712/HD/United States NICHD; JID: 7910653; 0 (Air Pollutants); ppublish;<m:linebreak></m:linebreak>Sèries temporals.
2 years ago by @jepcastel
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Adult
AirPollutants
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Demography
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HealthStatus
Humans
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Infant
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Newborn
ParticleSize
Prevalence
RespiratoryTractDiseases
RespiratoryTractDiseases:diagnosis
RespiratoryTractDiseases:epidemiology
RespiratoryTractDiseases:pathology
RiskFactors
SeverityofIllnessIndex
Theoretical
AdultAirPollutantsAirPollutants:adverseeffectsDemographyEpidemiologicStudiesFemaleHealthStatusHumansIncidenceInfantMeteorologicalConceptsModelsNewbornParticleSizePrevalenceRespiratoryTractDiseasesRespiratoryTractDiseases:diagnosisRespiratoryTractDiseases:epidemiologyRespiratoryTractDiseases:pathologyRiskFactorsSeverityofIllnessIndexTheoretical
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1Determining exposure underreporting in pharmacoepidemiologic case-control studies: methods and example.
D. Lane, and M. Kramer. Journal of clinical epidemiology, 52 (12): 1279-87 (December 1999)2742<m:linebreak></m:linebreak>Mesures d'associació.
2 years ago by @jepcastel
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Adolescent
Adult
Aged
AppetiteDepressants
AppetiteDepressants:adverseeffects
Belgium
Belgium:epidemiology
Child
Dexfenfluramine
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DrugPrescriptions
DrugPrescriptions:economics
DrugPrescriptions:statistics&numericaldata
DrugUtilization
DrugUtilization:economics
DrugUtilization:statistics&numericaldata
DrugandNarcoticControl
DrugandNarcoticControl:economics
DrugandNarcoticControl:legislation&jurisprud
DrugandNarcoticControl:statistics&numerical
Female
France
France:epidemiology
Humans
Hypertension
Incidence
Male
MiddleAged
Models
Pharmacoepidemiology
Pharmacoepidemiology:methods
Pulmonary
Pulmonary:chemicallyinduced
Pulmonary:economics
Pulmonary:epidemiology
RetrospectiveStudies
SerotoninReceptorAgonists
SerotoninReceptorAgonists:adverseeffects
Statistical
AdolescentAdultAgedAppetiteDepressantsAppetiteDepressants:adverseeffectsBelgiumBelgium:epidemiologyChildDexfenfluramineDexfenfluramine:adverseeffectsDrugPrescriptionsDrugPrescriptions:economicsDrugPrescriptions:statistics&numericaldataDrugUtilizationDrugUtilization:economicsDrugUtilization:statistics&numericaldataDrugandNarcoticControlDrugandNarcoticControl:economicsDrugandNarcoticControl:legislation&jurisprudDrugandNarcoticControl:statistics&numericalFemaleFranceFrance:epidemiologyHumansHypertensionIncidenceMaleMiddleAgedModelsPharmacoepidemiologyPharmacoepidemiology:methodsPulmonaryPulmonary:chemicallyinducedPulmonary:economicsPulmonary:epidemiologyRetrospectiveStudiesSerotoninReceptorAgonistsSerotoninReceptorAgonists:adverseeffectsStatistical
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1Interpreting parameters in the logistic regression model with random effects.
K. Larsen, J. Petersen, E. Budtz-Jørgensen, and L. Endahl. Biometrics, 56 (3): 909-14 (September 2000)3544<m:linebreak></m:linebreak>Regressió logística.
2 years ago by @jepcastel
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Animal
Animals
Biological
Female
Male
Models
OddsRatio
RandomAllocation
RegressionAnalysis
Reproduction
SexualBehavior
Statistical
Urodela
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1Interval estimation by simulation as an alternative to and extension of confidence intervals.
S. Greenland. International journal of epidemiology, 33 (6): 1389-97 (December 2004)3660<m:linebreak></m:linebreak>Risc atribuïble.
2 years ago by @jepcastel
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ComputerSimulation
ConfidenceIntervals
EpidemiologicMethods
Humans
Models
Statistical
ComputerSimulationConfidenceIntervalsEpidemiologicMethodsHumansModelsStatistical
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1Treatment effects in the presence of unmeasured confounding: dealing with observations in the tails of the propensity score distribution--a simulation study.
T. Stürmer, K. Rothman, J. Avorn, and R. Glynn. American journal of epidemiology, 172 (7): 843-54 (October 2010)5732<m:linebreak></m:linebreak>JID: 7910653; aheadofprint;<m:linebreak></m:linebreak>Propensity score.
2 years ago by @jepcastel
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Bias(Epidemiology)
Calibration
CohortStudies
ComputerSimulation
ConfoundingFactors(Epidemiology)
EpidemiologicMethods
Humans
Models
RegressionAnalysis
ResearchDesign
ResearchDesign:statistics&numericaldata
Statistical
SurvivalRate
Bias(Epidemiology)CalibrationCohortStudiesComputerSimulationConfoundingFactors(Epidemiology)EpidemiologicMethodsHumansModelsRegressionAnalysisResearchDesignResearchDesign:statistics&numericaldataStatisticalSurvivalRate
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1Instrumental variables: application and limitations.
E. Martens, W. Pestman, A. de Boer, S. Belitser, and O. Klungel. Epidemiology (Cambridge, Mass.), 17 (3): 260-7 (May 2006)4042<m:linebreak></m:linebreak>Variables instrumentals.
2 years ago by @jepcastel
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Bias(Epidemiology)
ConfoundingFactors(Epidemiology)
EpidemiologicStudies
Models
Statistical
UnitedStates
Bias(Epidemiology)ConfoundingFactors(Epidemiology)EpidemiologicStudiesModelsStatisticalUnitedStates
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1Relation of distribution- and anchor-based approaches in interpretation of changes in health-related quality of life.
G. Norman, F. Sridhar, G. Guyatt, and S. Walter. Medical care, 39 (10): 1039-47 (October 2001)4454<m:linebreak></m:linebreak>LR: 20041117; PUBM: Print; JID: 0230027; CIN: Med Care. 2001 Oct;39(10):1037-8. PMID: 11567166; ppublish;<m:linebreak></m:linebreak>MDCI.
2 years ago by @jepcastel
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ChronicDisease
ChronicDisease:rehabilitation
DataInterpretation
Humans
LungDiseases
Models
Obstructive
Obstructive:rehabilitation
OutcomeAssessment(HealthCare)
OutcomeAssessment(HealthCare):methods
Quality-AdjustedLifeYears
QualityofLife
ResearchDesign
ResearchDesign:statistics&numericaldata
SelfEfficacy
Statistical
TreatmentOutcome
ChronicDiseaseChronicDisease:rehabilitationDataInterpretationHumansLungDiseasesModelsObstructiveObstructive:rehabilitationOutcomeAssessment(HealthCare)OutcomeAssessment(HealthCare):methodsQuality-AdjustedLifeYearsQualityofLifeResearchDesignResearchDesign:statistics&numericaldataSelfEfficacyStatisticalTreatmentOutcome
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1Adjusting a relative-risk estimate for study imperfections.
G. Maldonado. Journal of epidemiology and community health, 62 (7): 655-63 (July 2008)4593<m:linebreak></m:linebreak>GR: 1R29-ES07986/ES/NIEHS NIH HHS/United States; JID: 7909766; ppublish;<m:linebreak></m:linebreak>Mesures d'associació.
2 years ago by @jepcastel
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Algorithms
Bias(Epidemiology)
EpidemiologicStudies
Humans
Models
ResearchDesign
ResearchDesign:statistics&numericaldata
Risk
Statistical
StatisticsasTopic
AlgorithmsBias(Epidemiology)EpidemiologicStudiesHumansModelsResearchDesignResearchDesign:statistics&numericaldataRiskStatisticalStatisticsasTopic
(0)
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2Survival analysis in observational studies.
K. Bull, and D. Spiegelhalter. Statistics in medicine, 16 (9): 1041-74 (May 1997)2873<m:linebreak></m:linebreak>Anàlisi de supervivència.
2 years ago by @jepcastel
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Algorithms
Humans
LogisticModels
MathematicalComputing
Models
OutcomeandProcessAssessment(HealthCare)
OutcomeandProcessAssessment(HealthCare):stat
ProportionalHazardsModels
PulmonaryAtresia
RandomAllocation
SelectionBias
Statistical
StatisticsasTopic
StatisticsasTopic:methods
SurvivalAnalysis
TimeFactors
AlgorithmsHumansLogisticModelsMathematicalComputingModelsOutcomeandProcessAssessment(HealthCare)OutcomeandProcessAssessment(HealthCare):statProportionalHazardsModelsPulmonaryAtresiaRandomAllocationSelectionBiasStatisticalStatisticsasTopicStatisticsasTopic:methodsSurvivalAnalysisTimeFactors
(0)
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1Survival analysis in total joint replacement: an alternative method of accounting for the presence of competing risk.
P. Fennema, and J. Lubsen. The Journal of bone and joint surgery. British volume, 92 (5): 701-6 (May 2010)5813<m:linebreak></m:linebreak>LR: 20101110; JID: 0375355; ppublish;<m:linebreak></m:linebreak>Anàlisi de supervivència; Competing risks.
2 years ago by @jepcastel
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Arthroplasty
Bias(Epidemiology)
DataInterpretation
Hip
Hip:mortality
Hip:statistics&numericaldata
HipProsthesis
HipProsthesis:standards
Humans
Incidence
Models
OutcomeAssessment(HealthCare)
OutcomeAssessment(HealthCare):methods
ProsthesisDesign
ProsthesisDesign:standards
ProsthesisFailure
Reoperation
Reoperation:statistics&numericaldata
Replacement
Statistical
SurvivalAnalysis
Theoretical
ArthroplastyBias(Epidemiology)DataInterpretationHipHip:mortalityHip:statistics&numericaldataHipProsthesisHipProsthesis:standardsHumansIncidenceModelsOutcomeAssessment(HealthCare)OutcomeAssessment(HealthCare):methodsProsthesisDesignProsthesisDesign:standardsProsthesisFailureReoperationReoperation:statistics&numericaldataReplacementStatisticalSurvivalAnalysisTheoretical
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1Prognostic markers: data misinterpretation often leads to overoptimistic conclusions.
Y. Foucher, C. Combescure, J. Ashton-Chess, and M. Giral. American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons, 12 (4): 1060-1 (April 2012)6790<br/>JID: 100968638; CON: Am J Transplant. 2010 Sep;10(9):2066-73. PMID: 20883541; CON: Am J Transplant. 2008 Jun;8(6):1205-13. PMID: 18444921; CON: Am J Transplant. 2008 Dec;8(12):2537-46. PMID: 18945283; 2012/01/06 aheadofprint; ppublish;<br/>Models predictius; Proves diagnòstiques.
2 years ago by @jepcastel
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DecisionSupportTechniques
EndocrineGlandNeoplasms
EndocrineGlandNeoplasms:surgery
EndpointDetermination
EndpointDetermination:methods
Female
Humans
KidneyTransplantation
KidneyTransplantation:pathology
KidneyTubules
KidneyTubules:pathology
LiverNeoplasms
LiverNeoplasms:surgery
LiverTransplantation
LiverTransplantation:mortality
Male
Models
Nephritis
Nephritis:pathology
NeuroendocrineTumors
NeuroendocrineTumors:surgery
OutcomeAssessment(HealthCare)
OutcomeAssessment(HealthCare):methods
Theoretical
DecisionSupportTechniquesEndocrineGlandNeoplasmsEndocrineGlandNeoplasms:surgeryEndpointDeterminationEndpointDetermination:methodsFemaleHumansKidneyTransplantationKidneyTransplantation:pathologyKidneyTubulesKidneyTubules:pathologyLiverNeoplasmsLiverNeoplasms:surgeryLiverTransplantationLiverTransplantation:mortalityMaleModelsNephritisNephritis:pathologyNeuroendocrineTumorsNeuroendocrineTumors:surgeryOutcomeAssessment(HealthCare)OutcomeAssessment(HealthCare):methodsTheoretical
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1Parametric versus nonparametric statistical tests: the length of stay example.
M. Qualls, D. Pallin, and J. Schuur. Academic emergency medicine : official journal of the Society for Academic Emergency Medicine, 17 (10): 1113-21 (October 2010)6036<m:linebreak></m:linebreak>CI: (c) 2010; JID: 9418450; ppublish;.
2 years ago by @jepcastel
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EmergencyService
Female
Hospital
Hospital:statistics&numericaldata
Hospital:utilization
Humans
LengthofStay
LengthofStay:statistics&numericaldata
Male
Models
Nonparametric
OutcomeAssessment(HealthCare)
PatientAdmission
PatientAdmission:statistics&numericaldata
QualityImprovement
Statistical
Statistics
UnitedStates
EmergencyServiceFemaleHospitalHospital:statistics&numericaldataHospital:utilizationHumansLengthofStayLengthofStay:statistics&numericaldataMaleModelsNonparametricOutcomeAssessment(HealthCare)PatientAdmissionPatientAdmission:statistics&numericaldataQualityImprovementStatisticalStatisticsUnitedStates
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1Methods for evaluating the performance of diagnostic tests in the absence of a gold standard: a latent class model approach.
E. Garrett, W. Eaton, and S. Zeger. Statistics in medicine, 21 (9): 1289-307 (May 2002)5560<m:linebreak></m:linebreak>LR: 20071114; CI: Copyright 2002; GR: 5 R01 MH56639-03/MH/NIMH NIH HHS/United States; GR: MH 47447/MH/NIMH NIH HHS/United States; JID: 8215016; ppublish;<m:linebreak></m:linebreak>Proves diagnòstiques.
2 years ago by @jepcastel
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Baltimore
Biological
Depression
Depression:diagnosis
DiagnosticTests
Humans
MarkovChains
Models
MonteCarloMethod
PredictiveValueofTests
Routine
Routine:standards
SensitivityandSpecificity
BaltimoreBiologicalDepressionDepression:diagnosisDiagnosticTestsHumansMarkovChainsModelsMonteCarloMethodPredictiveValueofTestsRoutineRoutine:standardsSensitivityandSpecificity
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