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Joseph G Ibrahim

Showing results (51-60 of 271) with videos related to

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Biostatistics (Oxford, England)|April 26, 2024
Bayesian joint modeling of multivariate longitudinal and survival outcomes using Gaussian copulasSeoyoon Cho, Matthew A Psioda, Joseph G Ibrahim
Biostatistics (Oxford, England)|July 19, 2022
Bayesian design of clinical trials using joint models for recurrent and terminating eventsJiawei Xu, Matthew A Psioda, Joseph G Ibrahim
Biometrics|September 2, 2005
Bayesian analysis for generalized linear models with nonignorably missing covariatesLan Huang, Ming-Hui Chen, Joseph G Ibrahim
BMC Medical Research Methodology|December 1, 2012
Bayesian methods in clinical trials: a Bayesian analysis of ECOG trials E1684 and E1690Joseph G Ibrahim, Ming-Hui Chen, Haitao Chu
Biometrics|March 2, 2005
A flexible B-spline model for multiple longitudinal biomarkers and survivalElizabeth R Brown, Joseph G Ibrahim, Victor DeGruttola
Statistics in Medicine|May 19, 2011
Sample size and power determination in joint modeling of longitudinal and survival dataLiddy M Chen, Joseph G Ibrahim, Haitao Chu
Statistics in Medicine|June 29, 2011
Maximum likelihood estimation in generalized linear models with multiple covariates subject to detection limitsRyan C May, Joseph G Ibrahim, Haitao Chu
Journal of Biopharmaceutical Statistics|April 5, 2014
Sample size determination in shared frailty models for multivariate time-to-event dataLiddy M Chen, Joseph G Ibrahim, Haitao Chu
Journal of Biopharmaceutical Statistics|April 5, 2014
Flexible stopping boundaries when changing primary endpoints after unblinded interim analysesLiddy M Chen, Joseph G Ibrahim, Haitao Chu
Journal of the American Statistical Association|February 24, 2025
A New Bayesian Model For Survival Data With a Surviving FractionMing-Hui Chen, Joseph G Ibrahim, Debajyoti Sinha
Pageof 28

Showing results (51-60 of 271) with videos related to

Sort By:
Pageof 28
Biostatistics (Oxford, England)|April 26, 2024
Bayesian joint modeling of multivariate longitudinal and survival outcomes using Gaussian copulasSeoyoon Cho, Matthew A Psioda, Joseph G Ibrahim
Biostatistics (Oxford, England)|July 19, 2022
Bayesian design of clinical trials using joint models for recurrent and terminating eventsJiawei Xu, Matthew A Psioda, Joseph G Ibrahim
Biometrics|September 2, 2005
Bayesian analysis for generalized linear models with nonignorably missing covariatesLan Huang, Ming-Hui Chen, Joseph G Ibrahim
BMC Medical Research Methodology|December 1, 2012
Bayesian methods in clinical trials: a Bayesian analysis of ECOG trials E1684 and E1690Joseph G Ibrahim, Ming-Hui Chen, Haitao Chu
Biometrics|March 2, 2005
A flexible B-spline model for multiple longitudinal biomarkers and survivalElizabeth R Brown, Joseph G Ibrahim, Victor DeGruttola
Statistics in Medicine|May 19, 2011
Sample size and power determination in joint modeling of longitudinal and survival dataLiddy M Chen, Joseph G Ibrahim, Haitao Chu
Statistics in Medicine|June 29, 2011
Maximum likelihood estimation in generalized linear models with multiple covariates subject to detection limitsRyan C May, Joseph G Ibrahim, Haitao Chu
Journal of Biopharmaceutical Statistics|April 5, 2014
Sample size determination in shared frailty models for multivariate time-to-event dataLiddy M Chen, Joseph G Ibrahim, Haitao Chu
Journal of Biopharmaceutical Statistics|April 5, 2014
Flexible stopping boundaries when changing primary endpoints after unblinded interim analysesLiddy M Chen, Joseph G Ibrahim, Haitao Chu
Journal of the American Statistical Association|February 24, 2025
A New Bayesian Model For Survival Data With a Surviving FractionMing-Hui Chen, Joseph G Ibrahim, Debajyoti Sinha
Pageof 28