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BMC Medicine
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September 28, 2024
Unleashing the full potential of digital outcome measures in clinical trials: eight questions that need attention
Mia S Tackney, James R Carpenter, Sofía S Villar
BMC Medical Research Methodology
|
November 28, 2008
Undue reliance on I(2) in assessing heterogeneity may mislead
Gerta Rücker, Guido Schwarzer, James R Carpenter, et al.
Journal of Biopharmaceutical Statistics
|
October 22, 2013
Analysis of longitudinal trials with protocol deviation: a framework for relevant, accessible assumptions, and inference via multiple imputation
James R Carpenter, James H Roger, Michael G Kenward
Epidemiology (Cambridge, Mass.)
|
March 17, 2015
Estimating excess hazard ratios and net survival when covariate data are missing: strategies for multiple imputation
Milena Falcaro, Ula Nur, Bernard Rachet, et al.
American Journal of Epidemiology
|
October 15, 2020
Common Methods for Handling Missing Data in Marginal Structural Models: What Works and Why
Clémence Leyrat, James R Carpenter, Sébastien Bailly, et al.
The Lancet. Respiratory Medicine
|
September 27, 2019
Secondary re-analysis of the FEAST trial
Matteo Quartagno, Bianca De Stavola, Richard Emsley, et al.
Statistics in Medicine
|
January 24, 2025
Reference-Based Multiple Imputation for Longitudinal Binary Data
Suzie Cro, Matteo Quartagno, Ian R White, et al.
Biostatistics (Oxford, England)
|
June 8, 2014
Improving upon the efficiency of complete case analysis when covariates are MNAR
Jonathan W Bartlett, James R Carpenter, Kate Tilling, et al.
Clinical Epidemiology
|
November 10, 2025
Mind the Gaps: Literature Survey Reveals Shortcomings in Handling Missing Data in Clinical Practice Research Datalink (CPRD), a UK Primary Care Health Records Database
Esther Tolani, Miriam Rachel Carpenter, Irene Petersen, et al.
Pharmaceutical Statistics
|
July 17, 2019
Reference-based sensitivity analysis for time-to-event data
Andrew Atkinson, Michael G Kenward, Tim Clayton, et al.
Page
of 11
Search research articles
Search
Showing results (21-30 of 109) with videos related to
Sort By:
Page
of 11
BMC Medicine
|
September 28, 2024
Unleashing the full potential of digital outcome measures in clinical trials: eight questions that need attention
Mia S Tackney, James R Carpenter, Sofía S Villar
BMC Medical Research Methodology
|
November 28, 2008
Undue reliance on I(2) in assessing heterogeneity may mislead
Gerta Rücker, Guido Schwarzer, James R Carpenter, et al.
Journal of Biopharmaceutical Statistics
|
October 22, 2013
Analysis of longitudinal trials with protocol deviation: a framework for relevant, accessible assumptions, and inference via multiple imputation
James R Carpenter, James H Roger, Michael G Kenward
Epidemiology (Cambridge, Mass.)
|
March 17, 2015
Estimating excess hazard ratios and net survival when covariate data are missing: strategies for multiple imputation
Milena Falcaro, Ula Nur, Bernard Rachet, et al.
American Journal of Epidemiology
|
October 15, 2020
Common Methods for Handling Missing Data in Marginal Structural Models: What Works and Why
Clémence Leyrat, James R Carpenter, Sébastien Bailly, et al.
The Lancet. Respiratory Medicine
|
September 27, 2019
Secondary re-analysis of the FEAST trial
Matteo Quartagno, Bianca De Stavola, Richard Emsley, et al.
Statistics in Medicine
|
January 24, 2025
Reference-Based Multiple Imputation for Longitudinal Binary Data
Suzie Cro, Matteo Quartagno, Ian R White, et al.
Biostatistics (Oxford, England)
|
June 8, 2014
Improving upon the efficiency of complete case analysis when covariates are MNAR
Jonathan W Bartlett, James R Carpenter, Kate Tilling, et al.
Clinical Epidemiology
|
November 10, 2025
Mind the Gaps: Literature Survey Reveals Shortcomings in Handling Missing Data in Clinical Practice Research Datalink (CPRD), a UK Primary Care Health Records Database
Esther Tolani, Miriam Rachel Carpenter, Irene Petersen, et al.
Pharmaceutical Statistics
|
July 17, 2019
Reference-based sensitivity analysis for time-to-event data
Andrew Atkinson, Michael G Kenward, Tim Clayton, et al.
Page
of 11