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John M Neuhaus

Showing results (1-10 of 43) with videos related to

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Biometrics|September 17, 2002
Analysis of clustered and longitudinal binary data subject to response misclassificationJohn M Neuhaus
The Canadian Journal of Statistics = Revue Canadienne De Statistique|December 4, 2012
The effect of misspecification of random effects distributions in clustered data settings with outcome-dependent samplingJohn M Neuhaus, Charles E McCulloch
Biostatistics (Oxford, England)|November 17, 2018
Diagnostic methods for uncovering outcome dependent visit processesCharles E McCulloch, John M Neuhaus
Biometrics|June 10, 2010
Prediction of random effects in linear and generalized linear models under model misspecificationCharles E McCulloch, John M Neuhaus
Biometrika|October 11, 2012
Estimation of covariate effects in generalized linear mixed models with informative cluster sizesJohn M Neuhaus, Charles E McCulloch
Australian & New Zealand Journal of Statistics|June 9, 2015
COVARIATE DECOMPOSITION METHODS FOR LONGITUDINAL MISSING-AT-RANDOM DATA AND PREDICTORS ASSOCIATED WITH SUBJECT-SPECIFIC EFFECTSJohn M Neuhaus, Charles E McCulloch
Biometrics|June 22, 2011
A note on type II error under random effects misspecification in generalized linear mixed modelsJohn M Neuhaus, Charles E McCulloch, Ross Boylan
Journal of Palliative Medicine|February 4, 2016
Racial and Ethnic Differences in Advance Directive Possession: Role of Demographic Factors, Religious Affiliation, and Personal Health Values in a National Survey of Older AdultsIvy A Huang, John M Neuhaus, Winston Chiong
Contemporary Clinical Trials|May 25, 2005
Use of an embedded N-of-1 trial to improve adherence and increase information from a clinical studyAndrew L Avins, Stephen Bent, John M Neuhaus
Statistics in Medicine|December 4, 2012
Estimation of covariate effects in generalized linear mixed models with a misspecified distribution of random intercepts and slopesJohn M Neuhaus, Charles E McCulloch, Ross Boylan
Pageof 5

Showing results (1-10 of 43) with videos related to

Sort By:
Pageof 5
Biometrics|September 17, 2002
Analysis of clustered and longitudinal binary data subject to response misclassificationJohn M Neuhaus
The Canadian Journal of Statistics = Revue Canadienne De Statistique|December 4, 2012
The effect of misspecification of random effects distributions in clustered data settings with outcome-dependent samplingJohn M Neuhaus, Charles E McCulloch
Biostatistics (Oxford, England)|November 17, 2018
Diagnostic methods for uncovering outcome dependent visit processesCharles E McCulloch, John M Neuhaus
Biometrics|June 10, 2010
Prediction of random effects in linear and generalized linear models under model misspecificationCharles E McCulloch, John M Neuhaus
Biometrika|October 11, 2012
Estimation of covariate effects in generalized linear mixed models with informative cluster sizesJohn M Neuhaus, Charles E McCulloch
Australian & New Zealand Journal of Statistics|June 9, 2015
COVARIATE DECOMPOSITION METHODS FOR LONGITUDINAL MISSING-AT-RANDOM DATA AND PREDICTORS ASSOCIATED WITH SUBJECT-SPECIFIC EFFECTSJohn M Neuhaus, Charles E McCulloch
Biometrics|June 22, 2011
A note on type II error under random effects misspecification in generalized linear mixed modelsJohn M Neuhaus, Charles E McCulloch, Ross Boylan
Journal of Palliative Medicine|February 4, 2016
Racial and Ethnic Differences in Advance Directive Possession: Role of Demographic Factors, Religious Affiliation, and Personal Health Values in a National Survey of Older AdultsIvy A Huang, John M Neuhaus, Winston Chiong
Contemporary Clinical Trials|May 25, 2005
Use of an embedded N-of-1 trial to improve adherence and increase information from a clinical studyAndrew L Avins, Stephen Bent, John M Neuhaus
Statistics in Medicine|December 4, 2012
Estimation of covariate effects in generalized linear mixed models with a misspecified distribution of random intercepts and slopesJohn M Neuhaus, Charles E McCulloch, Ross Boylan
Pageof 5