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Rebecca A Betensky

Showing results (1-10 of 240) with videos related to

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NEJM Evidence|February 6, 2024
Following the Dropouts - Interpreting an 11-Year Follow-up StudyRebecca A Betensky
Clinical Trials (London, England)|May 31, 2015
Measures of follow-up in time-to-event studies: Why provide them and what should they be?Rebecca A Betensky
NEJM Evidence|February 6, 2024
Don't Be Blinded by the BlindingRebecca A Betensky
Biometrics|August 11, 2007
Testing goodness of fit of a uniform truncation modelMicha Mandel, Rebecca A Betensky
Computational Statistics & Data Analysis|January 13, 2009
Simultaneous Confidence Intervals Based on the Percentile Bootstrap ApproachMicha Mandel, Rebecca A Betensky
IEEE/ACM Transactions on Computational Biology and Bioinformatics|June 14, 2016
Optimization of Signal Decomposition Matched Filtering (SDMF) for Improved Detection of Copy-Number VariationsCatherine Stamoulis, Rebecca A Betensky
Statistics in Medicine|February 2, 2021
Displaying survival of patient groups defined by covariate paths: Extensions of the Kaplan-Meier estimatorMelissa Jay, Rebecca A Betensky
Biostatistics (Oxford, England)|April 22, 2008
Estimating time-to-event from longitudinal ordinal data using random-effects Markov models: application to multiple sclerosis progressionMicha Mandel, Rebecca A Betensky
Lifetime Data Analysis|August 19, 2006
A computationally simple bivariate survival estimator for efficacy and safetyDenise Scholtens, Rebecca A Betensky
Bioinformatics (Oxford, England)|July 15, 2011
A novel signal processing approach for the detection of copy number variations in the human genomeCatherine Stamoulis, Rebecca A Betensky
Pageof 24

Showing results (1-10 of 240) with videos related to

Sort By:
Pageof 24
NEJM Evidence|February 6, 2024
Following the Dropouts - Interpreting an 11-Year Follow-up StudyRebecca A Betensky
Clinical Trials (London, England)|May 31, 2015
Measures of follow-up in time-to-event studies: Why provide them and what should they be?Rebecca A Betensky
NEJM Evidence|February 6, 2024
Don't Be Blinded by the BlindingRebecca A Betensky
Biometrics|August 11, 2007
Testing goodness of fit of a uniform truncation modelMicha Mandel, Rebecca A Betensky
Computational Statistics & Data Analysis|January 13, 2009
Simultaneous Confidence Intervals Based on the Percentile Bootstrap ApproachMicha Mandel, Rebecca A Betensky
IEEE/ACM Transactions on Computational Biology and Bioinformatics|June 14, 2016
Optimization of Signal Decomposition Matched Filtering (SDMF) for Improved Detection of Copy-Number VariationsCatherine Stamoulis, Rebecca A Betensky
Statistics in Medicine|February 2, 2021
Displaying survival of patient groups defined by covariate paths: Extensions of the Kaplan-Meier estimatorMelissa Jay, Rebecca A Betensky
Biostatistics (Oxford, England)|April 22, 2008
Estimating time-to-event from longitudinal ordinal data using random-effects Markov models: application to multiple sclerosis progressionMicha Mandel, Rebecca A Betensky
Lifetime Data Analysis|August 19, 2006
A computationally simple bivariate survival estimator for efficacy and safetyDenise Scholtens, Rebecca A Betensky
Bioinformatics (Oxford, England)|July 15, 2011
A novel signal processing approach for the detection of copy number variations in the human genomeCatherine Stamoulis, Rebecca A Betensky
Pageof 24