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Journal of Biopharmaceutical Statistics
|
October 6, 2020
A BAYESIAN ADAPTIVE TWO-STAGE DESIGN FOR PEDIATRIC CLINICAL TRIALS
Matthew A Psioda, Xiaoqiang Xue
Biostatistics (Oxford, England)
|
March 17, 2018
Bayesian clinical trial design using historical data that inform the treatment effect
Matthew A Psioda, Joseph G Ibrahim
Statistics in Medicine
|
June 26, 2018
Bayesian design of a survival trial with a cured fraction using historical data
Matthew A Psioda, Joseph G Ibrahim
Biostatistics (Oxford, England)
|
July 19, 2022
Bayesian design of clinical trials using joint models for recurrent and terminating events
Jiawei Xu, Matthew A Psioda, Joseph G Ibrahim
Lifetime Data Analysis
|
June 24, 2025
Bayesian bivariate cure rate models using Gaussian copulas
Seoyoon Cho, Matthew A Psioda, Joseph G Ibrahim
Lifetime Data Analysis
|
November 10, 2022
Bayesian Design of Clinical Trials Using Joint Cure Rate Models for Longitudinal and Time-to-Event Data
Jiawei Xu, Matthew A Psioda, Joseph G Ibrahim
Biostatistics (Oxford, England)
|
April 26, 2024
Bayesian joint modeling of multivariate longitudinal and survival outcomes using Gaussian copulas
Seoyoon Cho, Matthew A Psioda, Joseph G Ibrahim
Journal of Biopharmaceutical Statistics
|
January 27, 2025
Bayesian design of clinical trials with multiple time-to-event outcomes subject to functional cure
Seoyoon Cho, Matthew A Psioda, Joseph G Ibrahim
Biostatistics (Oxford, England)
|
November 6, 2020
Bayesian design of clinical trials using joint models for longitudinal and time-to-event data
Jiawei Xu, Matthew A Psioda, Joseph G Ibrahim
Statistics in Medicine
|
July 24, 2018
A practical Bayesian adaptive design incorporating data from historical controls
Matthew A Psioda, Mat Soukup, Joseph G Ibrahim
Page
of 5
Search research articles
Search
Showing results (1-10 of 46) with videos related to
Sort By:
Page
of 5
Journal of Biopharmaceutical Statistics
|
October 6, 2020
A BAYESIAN ADAPTIVE TWO-STAGE DESIGN FOR PEDIATRIC CLINICAL TRIALS
Matthew A Psioda, Xiaoqiang Xue
Biostatistics (Oxford, England)
|
March 17, 2018
Bayesian clinical trial design using historical data that inform the treatment effect
Matthew A Psioda, Joseph G Ibrahim
Statistics in Medicine
|
June 26, 2018
Bayesian design of a survival trial with a cured fraction using historical data
Matthew A Psioda, Joseph G Ibrahim
Biostatistics (Oxford, England)
|
July 19, 2022
Bayesian design of clinical trials using joint models for recurrent and terminating events
Jiawei Xu, Matthew A Psioda, Joseph G Ibrahim
Lifetime Data Analysis
|
June 24, 2025
Bayesian bivariate cure rate models using Gaussian copulas
Seoyoon Cho, Matthew A Psioda, Joseph G Ibrahim
Lifetime Data Analysis
|
November 10, 2022
Bayesian Design of Clinical Trials Using Joint Cure Rate Models for Longitudinal and Time-to-Event Data
Jiawei Xu, Matthew A Psioda, Joseph G Ibrahim
Biostatistics (Oxford, England)
|
April 26, 2024
Bayesian joint modeling of multivariate longitudinal and survival outcomes using Gaussian copulas
Seoyoon Cho, Matthew A Psioda, Joseph G Ibrahim
Journal of Biopharmaceutical Statistics
|
January 27, 2025
Bayesian design of clinical trials with multiple time-to-event outcomes subject to functional cure
Seoyoon Cho, Matthew A Psioda, Joseph G Ibrahim
Biostatistics (Oxford, England)
|
November 6, 2020
Bayesian design of clinical trials using joint models for longitudinal and time-to-event data
Jiawei Xu, Matthew A Psioda, Joseph G Ibrahim
Statistics in Medicine
|
July 24, 2018
A practical Bayesian adaptive design incorporating data from historical controls
Matthew A Psioda, Mat Soukup, Joseph G Ibrahim
Page
of 5