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James R Carpenter

Showing results (1-10 of 109) with videos related to

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International Journal of Epidemiology|June 6, 2006
Commentary: on Bayesian perspectives for epidemiological researchJames R Carpenter
Biometrical Journal. Biometrische Zeitschrift|February 24, 2021
Missing data: A statistical framework for practiceJames R Carpenter, Melanie Smuk
Statistics in Medicine|August 12, 2022
Substantive model compatible multilevel multiple imputation: A joint modeling approachMatteo Quartagno, James R Carpenter
Biometrical Journal. Biometrische Zeitschrift|March 15, 2019
Multiple imputation for discrete data: Evaluation of the joint latent normal modelMatteo Quartagno, James R Carpenter
Cancer Epidemiology|March 19, 2017
Correcting bias due to missing stage data in the non-parametric estimation of stage-specific net survival for colorectal cancer using multiple imputationMilena Falcaro, James R Carpenter
Research Synthesis Methods|July 26, 2017
Bayesian one-step IPD network meta-analysis of time-to-event data using Royston-Parmar modelsSuzanne C Freeman, James R Carpenter
Biometrics|August 30, 2020
Discussion on 'Testing small study effects in multivariate meta-analysis' by Chuan Hong, Georgia Salanti, Sally Morton, Richard Riley, Haitao Chu, Stephen E Kimmel and Yong ChenJames R Carpenter, Gerta Rücker, Guido Schwarzer
Biometrical Journal. Biometrische Zeitschrift|March 5, 2011
Detecting and adjusting for small-study effects in meta-analysisGerta Rücker, James R Carpenter, Guido Schwarzer
Health Economics|March 25, 2018
Missing data in trial-based cost-effectiveness analysis: An incomplete journeyBaptiste Leurent, Manuel Gomes, James R Carpenter
American Journal of Epidemiology|July 1, 2016
The Authors ReplyJonathan W Bartlett, Ofer Harel, James R Carpenter
Pageof 11

Showing results (1-10 of 109) with videos related to

Sort By:
Pageof 11
International Journal of Epidemiology|June 6, 2006
Commentary: on Bayesian perspectives for epidemiological researchJames R Carpenter
Biometrical Journal. Biometrische Zeitschrift|February 24, 2021
Missing data: A statistical framework for practiceJames R Carpenter, Melanie Smuk
Statistics in Medicine|August 12, 2022
Substantive model compatible multilevel multiple imputation: A joint modeling approachMatteo Quartagno, James R Carpenter
Biometrical Journal. Biometrische Zeitschrift|March 15, 2019
Multiple imputation for discrete data: Evaluation of the joint latent normal modelMatteo Quartagno, James R Carpenter
Cancer Epidemiology|March 19, 2017
Correcting bias due to missing stage data in the non-parametric estimation of stage-specific net survival for colorectal cancer using multiple imputationMilena Falcaro, James R Carpenter
Research Synthesis Methods|July 26, 2017
Bayesian one-step IPD network meta-analysis of time-to-event data using Royston-Parmar modelsSuzanne C Freeman, James R Carpenter
Biometrics|August 30, 2020
Discussion on 'Testing small study effects in multivariate meta-analysis' by Chuan Hong, Georgia Salanti, Sally Morton, Richard Riley, Haitao Chu, Stephen E Kimmel and Yong ChenJames R Carpenter, Gerta Rücker, Guido Schwarzer
Biometrical Journal. Biometrische Zeitschrift|March 5, 2011
Detecting and adjusting for small-study effects in meta-analysisGerta Rücker, James R Carpenter, Guido Schwarzer
Health Economics|March 25, 2018
Missing data in trial-based cost-effectiveness analysis: An incomplete journeyBaptiste Leurent, Manuel Gomes, James R Carpenter
American Journal of Epidemiology|July 1, 2016
The Authors ReplyJonathan W Bartlett, Ofer Harel, James R Carpenter
Pageof 11