jepcastel > Bias(epidemiology)

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1'Mendelian randomization' equals instrumental variable analysis with genetic instruments.
G. Wehby, R. Ohsfeldt, and J. Murray. Statistics in medicine, 27 (15): 2745-9 (July 2008)4618<m:linebreak></m:linebreak>CI: (c) 2008; GR: 1R01 HD-52953/HD/NICHD NIH HHS/United States; GR: 1R01DD000295-01/DD/NCBDD CDC HHS/United States; GR: 1R03 DE018394-01/DE/NIDCR NIH HHS/United States; GR: 2P30 EY-5605/EY/NEI NIH HHS/United States; GR: P30 ES005605-170010/ES/NIEHS NIH HHS/United States; GR: P30 ES005605-180010/ES/NIEHS NIH HHS/United States; GR: R01 HD052953-02/HD/NICHD NIH HHS/United States; GR: R01 HD052953-03/HD/NICHD NIH HHS/United States; GR: R37 DE-08559/DE/NIDCR NIH HHS/United States; GR: R37 DE008559-18/DE/NIDCR NIH HHS/United States; GR: R37 DE008559-19/DE/NIDCR NIH HHS/United States; JID: 8215016; CIN: Stat Med. 2008 Jul 10;27(15):2750-5. PMID: 18509868; ppublish;<m:linebreak></m:linebreak>Epidemiologia genètica.
2 years ago by @jepcastel
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RandomAllocation
Human
Epidemiology:statistics&numericaldata
Disease
EpidemiologicMethods
Humans
MolecularEpidemiology
Bias(Epidemiology)
Disease:etiology
Epidemiology
Causality
Genome
RandomAllocationHumanEpidemiology:statistics&numericaldataDiseaseEpidemiologicMethodsHumansMolecularEpidemiologyBias(Epidemiology)Disease:etiologyEpidemiologyCausalityGenome
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1A catalog of biases in questionnaires.
B. Choi, and A. Pak. Preventing chronic disease, 2 (1): A13 (January 2005)4415<m:linebreak></m:linebreak>PUBM: Print-Electronic; DEP: 20041215; JID: 101205018; CIN: Prev Chronic Dis. 2005 Apr;2(2):A30; author reply A31. PMID: 15888239; PMC1323316; 2004/12/15 epublish; ppublish;<m:linebreak></m:linebreak>Recollida de dades.
2 years ago by @jepcastel
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ResearchDesign
ResearchDesign:standards
Questionnaires
Bias(Epidemiology)
Questionnaires:standards
ResearchDesignResearchDesign:standardsQuestionnairesBias(Epidemiology)Questionnaires:standards
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1A comparative study of the bias corrected estimates in logistic regression.
T. Maiti, and V. Pradhan. Statistical methods in medical research, 17 (6): 621-34 (December 2008)5470<m:linebreak></m:linebreak>JID: 9212457; 2008/03/28 aheadofprint; 2008/04/03 aheadofprint; 2008/04/15 aheadofprint; ppublish;<m:linebreak></m:linebreak>Regressió logística.
2 years ago by @jepcastel
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LikelihoodFunctions
Acute
Acute:therapy
Humans
SurvivalAnalysis
Leukemia
CD4-CD8Ratio
Infant
LogisticModels
Myeloid
Biometry
IntensiveCare:statistics&numericaldata
Factual
HIVInfections
HIVInfections:blood
Biometry:methods
IntensiveCare
Bias(Epidemiology)
Databases
Acute:pathology
LikelihoodFunctionsAcuteAcute:therapyHumansSurvivalAnalysisLeukemiaCD4-CD8RatioInfantLogisticModelsMyeloidBiometryIntensiveCare:statistics&numericaldataFactualHIVInfectionsHIVInfections:bloodBiometry:methodsIntensiveCareBias(Epidemiology)DatabasesAcute:pathology
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1A comparison of two methods to adjust for non-response bias: field substitution and weighting non-response adjustments based on response propensity.
A. Vives, C. Ferreccio, and G. Marshall. Gaceta sanitaria / S.E.S.P.A.S, 23 (4): 266-71 (2009)5242<m:linebreak></m:linebreak>JID: 8901623; 2007/09/27 received; 2009/01/21 accepted; 2009/05/28 aheadofprint; ppublish;<m:linebreak></m:linebreak>Dades censurades.
2 years ago by @jepcastel
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HealthSurveys
Humans
Male
Spain
Morbidity
YoungAdult
QualityofLife
Algorithms
Adolescent
DataCollection
Adult
Bias(Epidemiology)
Aged
RefusaltoParticipate:statistics&numericaldat
RefusaltoParticipate
Female
DataCollection:statistics&numericaldata
MiddleAged
HealthSurveysHumansMaleSpainMorbidityYoungAdultQualityofLifeAlgorithmsAdolescentDataCollectionAdultBias(Epidemiology)AgedRefusaltoParticipate:statistics&numericaldatRefusaltoParticipateFemaleDataCollection:statistics&numericaldataMiddleAged
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1A guide to the design and analysis of small clinical studies.
F. Kianifard, and M. Islam. Pharmaceutical statistics, 10 (4): 363-8 (2011)6089<m:linebreak></m:linebreak>JID: 101201192; aheadofprint;<m:linebreak></m:linebreak>Disseny; Estudi pilot; Estudi petit.
2 years ago by @jepcastel
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ClinicalTrialsasTopic:ethics
RCT
ResearchDesign
Humans
InstituteofMedicine(U.S.)
RandomizedControlledTrialsasTopic:ethics
DataInterpretation
DrugIndustry:methods
DrugIndustry
SampleSize
Statistical
Models
Bias(Epidemiology)
ClinicalTrialsasTopic
ClinicalTrialsasTopic:methods
UnitedStates
ClinicalTrialsasTopic:ethicsRCTResearchDesignHumansInstituteofMedicine(U.S.)RandomizedControlledTrialsasTopic:ethicsDataInterpretationDrugIndustry:methodsDrugIndustrySampleSizeStatisticalModelsBias(Epidemiology)ClinicalTrialsasTopicClinicalTrialsasTopic:methodsUnitedStates
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1A predictive probability design for phase II cancer clinical trials.
J. Lee, and D. Liu. Clinical trials (London, England), 5 (2): 93-106 (January 2008)5653<m:linebreak></m:linebreak>GR: CA97007/CA/NCI NIH HHS/United States; JID: 101197451; 0 (Antineoplastic Agents); ppublish;<m:linebreak></m:linebreak>Fase II.
2 years ago by @jepcastel
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ClinicalTrials
ResearchDesign
AntineoplasticAgents
Humans
Probability
Neoplasms
BayesTheorem
DataInterpretation
Neoplasms:drugtherapy
AntineoplasticAgents:therapeuticuse
PhaseIIasTopic
PhaseIIasTopic:statistics&numericaldata
Statistical
Bias(Epidemiology)
PhaseIIasTopic:methods
ClinicalTrialsResearchDesignAntineoplasticAgentsHumansProbabilityNeoplasmsBayesTheoremDataInterpretationNeoplasms:drugtherapyAntineoplasticAgents:therapeuticusePhaseIIasTopicPhaseIIasTopic:statistics&numericaldataStatisticalBias(Epidemiology)PhaseIIasTopic:methods
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1Accounting for independent nondifferential misclassification does not increase certainty that an observed association is in the correct direction.
S. Greenland, and P. Gustafson. American journal of epidemiology, 164 (1): 63-8 (July 2006)4381<m:linebreak></m:linebreak>PUBM: Print-Electronic; DEP: 20060426; JID: 7910653; 2006/04/26 aheadofprint; ppublish;<m:linebreak></m:linebreak>Mesures d'associació.
2 years ago by @jepcastel
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LikelihoodFunctions
Humans
Risk
ReproducibilityofResults
ObserverVariation
EpidemiologicMethods
Classification
OddsRatio
Statistical
Models
Bias(Epidemiology)
SensitivityandSpecificity
Causality
LikelihoodFunctionsHumansRiskReproducibilityofResultsObserverVariationEpidemiologicMethodsClassificationOddsRatioStatisticalModelsBias(Epidemiology)SensitivityandSpecificityCausality
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1Active-control clinical trials to establish equivalence or noninferiority: methodological and statistical concepts linked to quality.
M. Gomberg-Maitland, L. Frison, and J. Halperin. American heart journal, 146 (3): 398-403 (September 2003)3379.
2 years ago by @jepcastel
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ReproducibilityofResults
TherapeuticEquivalency
SampleSize
RCT
GuidelinesasTopic
ConfidenceIntervals
Probability
RandomizedControlledTrialsasTopic:ethics
Bias(Epidemiology)
StatisticsasTopic
ReproducibilityofResultsTherapeuticEquivalencySampleSizeRCTGuidelinesasTopicConfidenceIntervalsProbabilityRandomizedControlledTrialsasTopic:ethicsBias(Epidemiology)StatisticsasTopic
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1Addressing the issue of channeling bias in observational studies with propensity scores analysis.
F. Lobo, S. Wagner, C. Gross, and J. Schommer. Research in social & administrative pharmacy : RSAP, 2 (1): 143-51 (March 2006)6524<m:linebreak></m:linebreak>LR: 20071115; JID: 101231974; ppublish;<m:linebreak></m:linebreak>Propensity score; Introductori.
2 years ago by @jepcastel
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RCT
ResearchDesign
Humans
PopulationSurveillance
DataInterpretation
DrugTherapy
PopulationSurveillance:methods
Statistical
Models
ConfoundingFactors(Epidemiology)
Bias(Epidemiology)
TreatmentOutcome
Causality
RCTResearchDesignHumansPopulationSurveillanceDataInterpretationDrugTherapyPopulationSurveillance:methodsStatisticalModelsConfoundingFactors(Epidemiology)Bias(Epidemiology)TreatmentOutcomeCausality
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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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EpidemiologicStudies
Algorithms
ResearchDesign
Humans
ResearchDesign:statistics&numericaldata
Risk
Statistical
Models
Bias(Epidemiology)
StatisticsasTopic
EpidemiologicStudiesAlgorithmsResearchDesignHumansResearchDesign:statistics&numericaldataRiskStatisticalModelsBias(Epidemiology)StatisticsasTopic
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1Adjusting for baseline: change or percentage change.
J. Matthews, and M. Campbell. Statistics in medicine, 11 (12): 1624-6 (October 1992)3000<m:linebreak></m:linebreak>Mesures de contrast.
2 years ago by @jepcastel
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LikelihoodFunctions
Humans
EffectModifier
Bias(Epidemiology)
TreatmentOutcome
Epidemiologic
LikelihoodFunctionsHumansEffectModifierBias(Epidemiology)TreatmentOutcomeEpidemiologic
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1Adjusting for multiple testing--when and how?
R. Bender, and S. Lange. Journal of clinical epidemiology, 54 (4): 343-9 (April 2001)3304<m:linebreak></m:linebreak>Comparacions múltiples.
2 years ago by @jepcastel
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ReproducibilityofResults
EpidemiologicMethods
EpidemiologicMeasurements
Humans
Statistical
Models
ConfoundingFactors(Epidemiology)
Bias(Epidemiology)
DataInterpretation
ReproducibilityofResultsEpidemiologicMethodsEpidemiologicMeasurementsHumansStatisticalModelsConfoundingFactors(Epidemiology)Bias(Epidemiology)DataInterpretation
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1Alternative perspectives on the biased foundations of medical technology assessment.
G. Diamond, and T. Denton. Annals of internal medicine, 118 (6): 455-64 (March 1993)3267<m:linebreak></m:linebreak>Farmacoeconomia.
2 years ago by @jepcastel
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RiskAssessment
EthicalTheory
ResearchDesign
ResearchDesign:standards
TechnologyAssessment
HealthPolicy
DataInterpretation
ResourceAllocation
Biomedical:standards
ResearchSubjects
Statistical
Bias(Epidemiology)
Biomedical:methods
Biomedical
UnitedStates
RiskAssessmentEthicalTheoryResearchDesignResearchDesign:standardsTechnologyAssessmentHealthPolicyDataInterpretationResourceAllocationBiomedical:standardsResearchSubjectsStatisticalBias(Epidemiology)Biomedical:methodsBiomedicalUnitedStates
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1An easy mathematical proof showed that time-dependent bias inevitably leads to biased effect estimation.
J. Beyersmann, P. Gastmeier, M. Wolkewitz, and M. Schumacher. Journal of clinical epidemiology, 61 (12): 1216-21 (December 2008)4615<m:linebreak></m:linebreak>JID: 8801383; 2007/08/09 received; 2008/01/10 revised; 2008/02/12 accepted; 2008/07/10 aheadofprint; ppublish;<m:linebreak></m:linebreak>Anàlisi de supervivència.
2 years ago by @jepcastel
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Pneumonia
Germany:epidemiology
Humans
CrossInfection:epidemiology
DataInterpretation
IntensiveCare:statistics&numericaldata
TimeFactors
Pneumonia:epidemiology
Statistical
IntensiveCare
Models
Bias(Epidemiology)
CrossInfection
LengthofStay
LengthofStay:statistics&numericaldata
Germany
PneumoniaGermany:epidemiologyHumansCrossInfection:epidemiologyDataInterpretationIntensiveCare:statistics&numericaldataTimeFactorsPneumonia:epidemiologyStatisticalIntensiveCareModelsBias(Epidemiology)CrossInfectionLengthofStayLengthofStay:statistics&numericaldataGermany
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1Analysis by categorizing or dichotomizing continuous variables is inadvisable: an example from the natural history of unruptured aneurysms.
O. Naggara, J. Raymond, F. Guilbert, D. Roy, A. Weill, and D. Altman. AJNR. American journal of neuroradiology, 32 (3): 437-40 (March 2011)6281<m:linebreak></m:linebreak>ClinicalTrials.gov/NCT00537134; GR: Canadian Institutes of Health Research/Canada; JID: 8003708; 2011/02/17 aheadofprint; ppublish;<m:linebreak></m:linebreak>Anàlisi de dades; Categorització.
2 years ago by @jepcastel
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IntracranialAneurysm:epidemiology
RiskAssessment
Ruptured:diagnosis
Prevalence
Aneurysm
Humans
IntracranialAneurysm
IntracranialAneurysm:diagnosis
DataInterpretation
ProportionalHazardsModels
ReproducibilityofResults
Ruptured:epidemiology
Ruptured
RiskFactors
Statistical
Bias(Epidemiology)
RiskAssessment:methods
SensitivityandSpecificity
IntracranialAneurysm:epidemiologyRiskAssessmentRuptured:diagnosisPrevalenceAneurysmHumansIntracranialAneurysmIntracranialAneurysm:diagnosisDataInterpretationProportionalHazardsModelsReproducibilityofResultsRuptured:epidemiologyRupturedRiskFactorsStatisticalBias(Epidemiology)RiskAssessment:methodsSensitivityandSpecificity
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1Analysis of nonintervention studies: technical supplement.
M. Aickin. The Permanente journal, 16 (4): e100-20 (January 2012)7346<m:linebreak></m:linebreak>GR: RC1AT005715/AT/NCCAM NIH HHS/United States; JID: 9800474; OID: NLM: PMC3523943; ppublish;<m:linebreak></m:linebreak>Causalitat; Observacionals; Propensity score.
2 years ago by @jepcastel
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ResearchDesign
Humans
PropensityScore
ProbabilityTheory
DataInterpretation
TerminologyasTopic
ClinicalProtocols
Algorithms
Statistical
Models
ConfoundingFactors(Epidemiology)
Bias(Epidemiology)
Causality
ResearchDesignHumansPropensityScoreProbabilityTheoryDataInterpretationTerminologyasTopicClinicalProtocolsAlgorithmsStatisticalModelsConfoundingFactors(Epidemiology)Bias(Epidemiology)Causality
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1Anticipation of age at onset in multiple sclerosis: methodologic pitfalls.
L. Alonso-Magdalena, L. Romero-Pinel, E. Moral, O. Carmona, L. Gubieras, J. Ramón, S. Martínez-Yélamos, and T. Arbizu. Acta neurologica Scandinavica, 121 (6): 426-8 (June 2010)7183<br/>JID: 0370336; ppublish;<br/>Recursos/Organització; Errors; Anàlisi de supervivència; MS.
2 years ago by @jepcastel
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Follow-UpStudies
DiseaseProgression
Humans
SurvivalAnalysis
Male
MultipleSclerosis:genetics
MultipleSclerosis:mortality
Genetic
Anticipation
AgeFactors
MultipleSclerosis
TimeFactors
Aging:genetics
AgeofOnset
Bias(Epidemiology)
Female
Aging
Follow-UpStudiesDiseaseProgressionHumansSurvivalAnalysisMaleMultipleSclerosis:geneticsMultipleSclerosis:mortalityGeneticAnticipationAgeFactorsMultipleSclerosisTimeFactorsAging:geneticsAgeofOnsetBias(Epidemiology)FemaleAging
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1Any casualties in the clash of randomised and observational evidence?
J. Ioannidis, A. Haidich, and J. Lau. BMJ (Clinical research ed.), 322 (7291): 879-80 (April 2001)3696<m:linebreak></m:linebreak>Tipus d'estudis.
2 years ago by @jepcastel
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RandomizedControlledTrialsasTopic:standards
RCT
Evidence-BasedMedicine
OddsRatio
Bias(Epidemiology)
RandomizedControlledTrialsasTopic:standardsRCTEvidence-BasedMedicineOddsRatioBias(Epidemiology)
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1Assessing bias in studies of prognostic factors.
J. Hayden, D. van der Windt, J. Cartwright, P. Côté, and C. Bombardier. Annals of internal medicine, 158 (4): 280-6 (February 2013)7154<br/>JID: 0372351; ppublish;<br/>Models predictius; Proves diagnòstiques; Bias; Checklist; QUIPS.
2 years ago by @jepcastel
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LowBackPain
Prognosis
ReviewLiteratureasTopic
ResearchDesign
Humans
LowBackPain:therapy
Bias(Epidemiology)
LowBackPainPrognosisReviewLiteratureasTopicResearchDesignHumansLowBackPain:therapyBias(Epidemiology)
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1Association between unreported outcomes and effect size estimates in Cochrane meta-analyses.
T. Furukawa, N. Watanabe, I. Omori, V. Montori, and G. Guyatt. JAMA : the journal of the American Medical Association, 297 (5): 468-70 (February 2007)4307<m:linebreak></m:linebreak>LR: 20071115; PUBM: Print; JID: 7501160; ppublish;<m:linebreak></m:linebreak>Metaanàlisi.
2 years ago by @jepcastel
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Meta-AnalysisasTopic
RCT
RandomizedControlledTrialsasTopic:statistics
Statistical
Bias(Epidemiology)
DataInterpretation
TreatmentOutcome
Meta-AnalysisasTopicRCTRandomizedControlledTrialsasTopic:statisticsStatisticalBias(Epidemiology)DataInterpretationTreatmentOutcome
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1'Mendelian randomization' equals instrumental variable analysis with genetic instruments.

1A catalog of biases in questionnaires.

1A comparative study of the bias corrected estimates in logistic regression.

1A comparison of two methods to adjust for non-response bias: field substitution and weighting non-response adjustments based on response propensity.

1A guide to the design and analysis of small clinical studies.

1A predictive probability design for phase II cancer clinical trials.

1Accounting for independent nondifferential misclassification does not increase certainty that an observed association is in the correct direction.

1Active-control clinical trials to establish equivalence or noninferiority: methodological and statistical concepts linked to quality.

1Addressing the issue of channeling bias in observational studies with propensity scores analysis.

1Adjusting a relative-risk estimate for study imperfections.

1Adjusting for baseline: change or percentage change.

1Adjusting for multiple testing--when and how?

1Alternative perspectives on the biased foundations of medical technology assessment.

1An easy mathematical proof showed that time-dependent bias inevitably leads to biased effect estimation.

1Analysis by categorizing or dichotomizing continuous variables is inadvisable: an example from the natural history of unruptured aneurysms.

1Analysis of nonintervention studies: technical supplement.

1Anticipation of age at onset in multiple sclerosis: methodologic pitfalls.

1Any casualties in the clash of randomised and observational evidence?

1Assessing bias in studies of prognostic factors.

1Association between unreported outcomes and effect size estimates in Cochrane meta-analyses.

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