tag :: MODELS Biological

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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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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
AnimalAnimalsBiologicalFemaleMaleModelsOddsRatioRandomAllocationRegressionAnalysisReproductionSexualBehaviorStatisticalUrodela
(0)
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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
(0)
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1Application of hidden Markov models to multiple sclerosis lesion count data.
R. Altman, and A. Petkau. Statistics in medicine, 24 (15): 2335-44 (August 2005)3838<m:linebreak></m:linebreak>Anàlisi de dades; Count data.
2 years ago by @jepcastel
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Biological
Humans
MagneticResonanceImaging
MarkovChains
Models
MultipleSclerosis
Relapsing-Remitting
Relapsing-Remitting:diagnosis
Relapsing-Remitting:pathology
BiologicalHumansMagneticResonanceImagingMarkovChainsModelsMultipleSclerosisRelapsing-RemittingRelapsing-Remitting:diagnosisRelapsing-Remitting:pathology
(0)
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1Prognosis and prognostic research: validating a prognostic model.
D. Altman, Y. Vergouwe, P. Royston, and K. Moons. BMJ (Clinical research ed.), (January 2009)5171 GR: Cancer Research UK/United Kingdom; GR: Medical Research Council/United Kingdom; JID: 8900488; epublish; Models predictius; Avaluació de riscs.
2 years ago by @jepcastel
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AcuteDisease
Biological
Child
ColorectalSurgery
ColorectalSurgery:mortality
Cough
Cough:complications
Humans
Models
Positive-PressureRespiration
Positive-PressureRespiration:mortality
PredictiveValueofTests
Prognosis
ReproducibilityofResults
Research
RiskFactors
ThoracicSurgicalProcedures
ThoracicSurgicalProcedures:mortality
AcuteDiseaseBiologicalChildColorectalSurgeryColorectalSurgery:mortalityCoughCough:complicationsHumansModelsPositive-PressureRespirationPositive-PressureRespiration:mortalityPredictiveValueofTestsPrognosisReproducibilityofResultsResearchRiskFactorsThoracicSurgicalProceduresThoracicSurgicalProcedures:mortality
(0)
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1Prognosis and prognostic research: application and impact of prognostic models in clinical practice.
K. Moons, D. Altman, Y. Vergouwe, and P. Royston. BMJ (Clinical research ed.), (January 2009)5180<m:linebreak></m:linebreak>GR: Cancer Research UK/United Kingdom; GR: Medical Research Council/United Kingdom; JID: 8900488; epublish;<m:linebreak></m:linebreak>Avaluació de riscs.
2 years ago by @jepcastel
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Biological
ClinicalMedicine
ClinicalMedicine:statistics&numericaldata
Models
Prognosis
ResearchDesign
BiologicalClinicalMedicineClinicalMedicine:statistics&numericaldataModelsPrognosisResearchDesign
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1Tutorial in biostatistics: the self-controlled case series method.
H. Whitaker, C. Farrington, B. Spiessens, and P. Musonda. Statistics in medicine, 25 (10): 1768-97 (May 2006)7014 LR: 20070813; CI: Copyright 2006; GR: 070346/Wellcome Trust/United Kingdom; GR: 070346/Wellcome Trust/United Kingdom; GR: WT070346/Wellcome Trust/United Kingdom; JID: 8215016; 0 (Measles-Mumps-Rubella Vaccine); 0 (Poliovirus Vaccine, Oral); ppublish; Tipus d'estudis; Self controlled case series.
2 years ago by @jepcastel
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Biological
Biometry
Biometry:methods
Child
DataInterpretation
Humans
Infant
Intussusception
Intussusception:etiology
Measles-Mumps-RubellaVaccine
Measles-Mumps-RubellaVaccine:adverseeffects
Meningitis
Models
Oral
Oral:adverseeffects
PoliovirusVaccine
Preschool
Purpura
Risk
Statistical
Thrombocytopenic
Thrombocytopenic:etiology
Vaccination
Vaccination:adverseeffects
Viral
Viral:etiology
BiologicalBiometryBiometry:methodsChildDataInterpretationHumansInfantIntussusceptionIntussusception:etiologyMeasles-Mumps-RubellaVaccineMeasles-Mumps-RubellaVaccine:adverseeffectsMeningitisModelsOralOral:adverseeffectsPoliovirusVaccinePreschoolPurpuraRiskStatisticalThrombocytopenicThrombocytopenic:etiologyVaccinationVaccination:adverseeffectsViralViral:etiology
(0)
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1Joint modelling of multivariate longitudinal profiles: pitfalls of the random-effects approach.
S. Fieuws, and G. Verbeke. Statistics in medicine, 23 (20): 3093-104 (October 2004)4302<m:linebreak></m:linebreak>PUBM: Print; CI: Copyright 2004; JID: 8215016; ppublish;<m:linebreak></m:linebreak>Mixed models.
2 years ago by @jepcastel
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Adolescent
Adult
Aged
Biological
HearingLoss
Humans
LongitudinalStudies
Male
MiddleAged
Models
MultivariateAnalysis
Statistical
AdolescentAdultAgedBiologicalHearingLossHumansLongitudinalStudiesMaleMiddleAgedModelsMultivariateAnalysisStatistical
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1Estimation of attributable fractions using inverse probability weighting.
A. Sjölander. Statistical methods in medical research, 20 (4): 415-28 (August 2011)6330<m:linebreak></m:linebreak>Risc atribuïble.
2 years ago by @jepcastel
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Biological
CardiovascularDiseases
CardiovascularDiseases:epidemiology
CardiovascularDiseases:etiology
ComputerSimulation
ComputerSimulation:statistics&numericaldata
Female
Humans
Male
Models
Overweight
Overweight:complications
Overweight:epidemiology
Statistical
SurvivalAnalysis
Sweden
Sweden:epidemiology
BiologicalCardiovascularDiseasesCardiovascularDiseases:epidemiologyCardiovascularDiseases:etiologyComputerSimulationComputerSimulation:statistics&numericaldataFemaleHumansMaleModelsOverweightOverweight:complicationsOverweight:epidemiologyStatisticalSurvivalAnalysisSwedenSweden:epidemiology
(0)
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1Generalized approaches to partitioning the attributable risk of interacting risk factors can remedy existing pitfalls.
C. Rabe, A. Lehnert-Batar, and O. Gefeller. Journal of clinical epidemiology, 60 (5): 461-8 (May 2007)4780<m:linebreak></m:linebreak>JID: 8801383; 2005/08/23 received; 2006/05/31 revised; 2006/06/08 accepted; 2007/02/20 aheadofprint; ppublish;<m:linebreak></m:linebreak>Risc atribuïble.
2 years ago by @jepcastel
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Algorithms
Biological
DataInterpretation
Disease
Disease:etiology
EpidemiologicResearchDesign
Humans
Models
RiskAssessment
RiskAssessment:methods
RiskFactors
Statistical
AlgorithmsBiologicalDataInterpretationDiseaseDisease:etiologyEpidemiologicResearchDesignHumansModelsRiskAssessmentRiskAssessment:methodsRiskFactorsStatistical
(0)
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1The efficiency of simulation-based multiple comparisons.
D. Edwards, and J. Berry. Biometrics, 43 (4): 913-28 (December 1987)7102<m:linebreak></m:linebreak>LR: 20071114; GR: GM36977-01/GM/NIGMS NIH HHS/United States; GR: R01 GM34870-01/GM/NIGMS NIH HHS/United States; GR: R01 HL24314/HL/NHLBI NIH HHS/United States; GR: etc.; JID: 0370625; ppublish;<m:linebreak></m:linebreak>Comparacions múltiples.
2 years ago by @jepcastel
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AnalysisofVariance
Animals
Biological
CapillaryPermeability
Cats
ComputerSimulation
Decapoda(Crustacea)
Fishes
Mathematics
Models
PredatoryBehavior
Probability
ResearchDesign
AnalysisofVarianceAnimalsBiologicalCapillaryPermeabilityCatsComputerSimulationDecapoda(Crustacea)FishesMathematicsModelsPredatoryBehaviorProbabilityResearchDesign
(0)
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1Modelling ordered categorical data: recent advances and future challenges.
A. Agresti. Statistics in medicine, 18 (17-18): 2191-207 (1999)4075<m:linebreak></m:linebreak>Mesures d'associació.
2 years ago by @jepcastel
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BayesTheorem
Biological
DataInterpretation
Humans
LikelihoodFunctions
LogisticModels
Models
ObserverVariation
SampleSize
Statistical
BayesTheoremBiologicalDataInterpretationHumansLikelihoodFunctionsLogisticModelsModelsObserverVariationSampleSizeStatistical
(0)
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1Epidemiologic methods: the ärt" in the state of the art.
D. Kleinbaum. Journal of clinical epidemiology, 55 (12): 1196-200 (December 2002)2974<m:linebreak></m:linebreak>Disseny.
2 years ago by @jepcastel
show all tags
Biological
EpidemiologicStudies
Humans
Models
ResearchDesign
SelectionBias
Statistical
BiologicalEpidemiologicStudiesHumansModelsResearchDesignSelectionBiasStatistical
(0)
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1Understanding data in clinical research: a simple graphical display for plotting data (up to four independent variables) after binary logistic regression analysis.
J. Mesa. Medical hypotheses, 62 (2): 228-32 (January 2004)4518<m:linebreak></m:linebreak>LR: 20061115; PUBM: Print; JID: 7505668; 2003/03/04 received; 2003/10/23 accepted; ppublish;<m:linebreak></m:linebreak>Presentació de dades.
2 years ago by @jepcastel
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Biological
BiomedicalResearch
BiomedicalResearch:methods
Computer-Assisted
ComputerGraphics
DataInterpretation
LogisticModels
Models
NumericalAnalysis
RegressionAnalysis
SignalProcessing
Statistical
User-ComputerInterface
BiologicalBiomedicalResearchBiomedicalResearch:methodsComputer-AssistedComputerGraphicsDataInterpretationLogisticModelsModelsNumericalAnalysisRegressionAnalysisSignalProcessingStatisticalUser-ComputerInterface
(0)
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1Deriving benefit of early detection from biomarker-based prognostic models.
L. Inoue, R. Gulati, C. Yu, M. Kattan, and R. Etzioni. Biostatistics (Oxford, England), 14 (1): 15-27 (January 2013)7099<m:linebreak></m:linebreak>JID: 100897327; 2012/06/22 aheadofprint; aheadofprint; Bona gràfica per explicar els lead times segons el moment del diagnòstic.
2 years ago by @jepcastel
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AgeFactors
Biological
Biological:blood
EarlyDiagnosis
Humans
Male
Models
Prognosis
Prostate-SpecificAntigen
Prostate-SpecificAntigen:blood
ProstaticNeoplasms
ProstaticNeoplasms:diagnosis
Statistical
SurvivalAnalysis
TumorMarkers
AgeFactorsBiologicalBiological:bloodEarlyDiagnosisHumansMaleModelsPrognosisProstate-SpecificAntigenProstate-SpecificAntigen:bloodProstaticNeoplasmsProstaticNeoplasms:diagnosisStatisticalSurvivalAnalysisTumorMarkers
(0)
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1Sample size and power calculations based on generalized linear mixed models with correlated binary outcomes.
Q. Dang, S. Mazumdar, and P. Houck. Computer methods and programs in biomedicine, 91 (2): 122-7 (August 2008)5678<m:linebreak></m:linebreak>GR: P30 MH 71944/MH/NIMH NIH HHS/United States; JID: 8506513; 2007/08/21 received; 2008/03/10 revised; 2008/03/11 accepted; 2008/05/06 aheadofprint; ppublish;.
2 years ago by @jepcastel
show all tags
Algorithms
Biological
Biometry
Biometry:methods
ComputerSimulation
DataInterpretation
LinearModels
LogisticModels
Models
OutcomeAssessment(HealthCare)
OutcomeAssessment(HealthCare):methods
SampleSize
Statistical
AlgorithmsBiologicalBiometryBiometry:methodsComputerSimulationDataInterpretationLinearModelsLogisticModelsModelsOutcomeAssessment(HealthCare)OutcomeAssessment(HealthCare):methodsSampleSizeStatistical
(0)
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1Health metrics and evaluation: strengthening the science.
C. Murray, and J. Frenk. Lancet, 371 (9619): 1191-9 (April 2008)4583<m:linebreak></m:linebreak>PUBM: Print; JID: 2985213R; CIN: Lancet. 2008 Apr 5;371(9619):1139-40. PMID: 18395559; RF: 90; ppublish;<m:linebreak></m:linebreak>Mesures de resultats.
2 years ago by @jepcastel
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Animals
Biological
CommunicationBarriers
CommunityHealthPlanning
CommunityHealthPlanning:methods
CommunityHealthPlanning:organization&administ
CommunityHealthPlanning:trends
CommunityHealthServices
CommunityHealthServices:organization&administ
CommunityHealthServices:trends
Cost-BenefitAnalysis
Forecasting
HealthStatus
Humans
InformationSystems
InformationSystems:organization&administration
Models
PolicyMaking
ProgramEvaluation
ProgramEvaluation:methods
ResourceAllocation
ResourceAllocation:methods
ResourceAllocation:organization&administration
RiskAssessment
ValidationStudiesasTopic
VitalStatistics
WorldHealth
AnimalsBiologicalCommunicationBarriersCommunityHealthPlanningCommunityHealthPlanning:methodsCommunityHealthPlanning:organization&administCommunityHealthPlanning:trendsCommunityHealthServicesCommunityHealthServices:organization&administCommunityHealthServices:trendsCost-BenefitAnalysisForecastingHealthStatusHumansInformationSystemsInformationSystems:organization&administrationModelsPolicyMakingProgramEvaluationProgramEvaluation:methodsResourceAllocationResourceAllocation:methodsResourceAllocation:organization&administrationRiskAssessmentValidationStudiesasTopicVitalStatisticsWorldHealth
(0)
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1Multivariate estimation of exposure-specific incidence from case-control studies.
S. Greenland. Journal of chronic diseases, 34 (9-10): 445-53 (January 1981)3102<m:linebreak></m:linebreak>Mesures d'associació.
2 years ago by @jepcastel
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Aged
Biological
Disease
Disease:etiology
EpidemiologicMethods
Humans
MiddleAged
Models
Smoking
UrinaryBladderNeoplasms
UrinaryBladderNeoplasms:epidemiology
AgedBiologicalDiseaseDisease:etiologyEpidemiologicMethodsHumansMiddleAgedModelsSmokingUrinaryBladderNeoplasmsUrinaryBladderNeoplasms:epidemiology
(0)
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1Basics and Features of Artificial Neural Networks
R. Padmanabham. International Journal of Trend in Scientific Research and Development, 2 (2): 1065-1069 (February 2018)
6 years ago by @ijtsrd
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Artificial
Biological
Engineering
Mechanical
Models
Networks
Neural
Neuron
Terminology
Topology.
and
in
of
ArtificialBiologicalEngineeringMechanicalModelsNetworksNeuralNeuronTerminologyTopology.andinof
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6Polar invasion and translocation of Neisseria meningitidis and Streptococcus suis in a novel human model of the blood-cerebrospinal fluid barrier
C. Schwerk, T. Papandreou, D. Schuhmann, L. Nickol, J. Borkowski, U. Steinmann, N. Quednau, C. Stump, C. Weiss, J. Berger and 6 other author(s). PloS one, 7 (1): e30069 (2012)PMID: 22253884.
11 years ago by @ag_vogel
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Animals
Bacterial_Adhesion
Bacterial_Capsules
Biological
Blood-Brain_Barrier
Cell_Line
Cell_Membrane
Cell_Polarity
Cerebrospinal_Fluid
Choroid_Plexus
Colony_Count
Electric_Impedance
Epithelium
Fluorescein-5-isothiocyanate
Fluorescent_Antibody_Technique
Humans
Inulin
Membrane_Proteins
Microbial
Models
Movement
Neisseria_meningitidis
Papilloma
Reverse_Transcriptase_Polymerase_Chain_Reaction
Streptococcus_suis
Tight_Junctions
Tumor
AnimalsBacterial_AdhesionBacterial_CapsulesBiologicalBlood-Brain_BarrierCell_LineCell_MembraneCell_PolarityCerebrospinal_FluidChoroid_PlexusColony_CountElectric_ImpedanceEpitheliumFluorescein-5-isothiocyanateFluorescent_Antibody_TechniqueHumansInulinMembrane_ProteinsMicrobialModelsMovementNeisseria_meningitidisPapillomaReverse_Transcriptase_Polymerase_Chain_ReactionStreptococcus_suisTight_JunctionsTumor
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publications (hide)69
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1Estimating the impact of risk factor modification programs.

1Interpreting parameters in the logistic regression model with random effects.

1Methods for evaluating the performance of diagnostic tests in the absence of a gold standard: a latent class model approach.

1Application of hidden Markov models to multiple sclerosis lesion count data.

1Prognosis and prognostic research: validating a prognostic model.

1Prognosis and prognostic research: application and impact of prognostic models in clinical practice.

1Tutorial in biostatistics: the self-controlled case series method.

1Joint modelling of multivariate longitudinal profiles: pitfalls of the random-effects approach.

1Estimation of attributable fractions using inverse probability weighting.

1Generalized approaches to partitioning the attributable risk of interacting risk factors can remedy existing pitfalls.

1The efficiency of simulation-based multiple comparisons.

1Modelling ordered categorical data: recent advances and future challenges.

1Epidemiologic methods: the ärt" in the state of the art.

1Understanding data in clinical research: a simple graphical display for plotting data (up to four independent variables) after binary logistic regression analysis.

1Deriving benefit of early detection from biomarker-based prognostic models.

1Sample size and power calculations based on generalized linear mixed models with correlated binary outcomes.

1Health metrics and evaluation: strengthening the science.

1Multivariate estimation of exposure-specific incidence from case-control studies.

1Basics and Features of Artificial Neural Networks

6Polar invasion and translocation of Neisseria meningitidis and Streptococcus suis in a novel human model of the blood-cerebrospinal fluid barrier

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