tag :: SampleSize Statistical logisticmodels

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1Regression modeling strategies.
E. Núñez, E. Steyerberg, and J. Núñez. Revista española de cardiología, 64 (6): 501-7 (June 2011)6209<m:linebreak></m:linebreak>CI: Copyright (c) 2011; JID: 0404277; 2011/01/27 received; 2011/01/29 accepted; 2011/04/29 aheadofprint; ppublish;.
2 years ago by @jepcastel
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DataInterpretation
EffectModifier
EndpointDetermination
Epidemiologic
Forecasting
Humans
LogisticModels
Models
RegressionAnalysis
SampleSize
Statistical
DataInterpretationEffectModifierEndpointDeterminationEpidemiologicForecastingHumansLogisticModelsModelsRegressionAnalysisSampleSizeStatistical
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1Relaxing the rule of ten events per variable in logistic and Cox regression.
E. Vittinghoff, and C. McCulloch. American journal of epidemiology, 165 (6): 710-8 (March 2007)4832<m:linebreak></m:linebreak>JID: 7910653; 2006/12/20 aheadofprint; ppublish;.
2 years ago by @jepcastel
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Bias(Epidemiology)
Case-ControlStudies
ConfidenceIntervals
ConfoundingFactors(Epidemiology)
DataInterpretation
FactorAnalysis
Humans
LogisticModels
MultivariateAnalysis
PredictiveValueofTests
Prevalence
ProportionalHazardsModels
SampleSize
SensitivityandSpecificity
Statistical
Bias(Epidemiology)Case-ControlStudiesConfidenceIntervalsConfoundingFactors(Epidemiology)DataInterpretationFactorAnalysisHumansLogisticModelsMultivariateAnalysisPredictiveValueofTestsPrevalenceProportionalHazardsModelsSampleSizeSensitivityandSpecificityStatistical
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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
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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
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Algorithms
Biological
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Biometry:methods
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DataInterpretation
LinearModels
LogisticModels
Models
OutcomeAssessment(HealthCare)
OutcomeAssessment(HealthCare):methods
SampleSize
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AlgorithmsBiologicalBiometryBiometry:methodsComputerSimulationDataInterpretationLinearModelsLogisticModelsModelsOutcomeAssessment(HealthCare)OutcomeAssessment(HealthCare):methodsSampleSizeStatistical
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1Regression modeling strategies.

1Relaxing the rule of ten events per variable in logistic and Cox regression.

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

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

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publications (hide)4 displayallpublications onlypublications per page5102050100 sort byadded attitleauthorpublication dateentry typehelp for advanced sorting... RSSBibTeXRDFmore...

1Regression modeling strategies.

1Relaxing the rule of ten events per variable in logistic and Cox regression.

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

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

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