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Statistics in Medicine
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April 17, 2013
Sensitivity in statistical evaluation of biomarkers
Wen Li, Yongming Qu, Pandurang M Kulkarni
Therapeutic Innovation & Regulatory Science
|
December 21, 2022
Accurate Collection of Reasons for Treatment Discontinuation to Better Define Estimands in Clinical Trials
Yongming Qu, Robin D White, Stephen J Ruberg
Pharmaceutical Statistics
|
March 1, 2012
A Bayesian approach to the statistical analysis of device preference studies
Haoda Fu, Yongming Qu, Baojin Zhu, et al.
Statistics in Medicine
|
September 17, 2020
Understanding and adjusting for the selection bias from a proof-of-concept study to a more confirmatory study
Yongming Qu, Yu Du, Ying Zhang, et al.
Therapeutic Innovation & Regulatory Science
|
June 18, 2026
Predicting the Treatment Regimen Estimand in Phase 3 Studies from the Estimated Efficacy Estimand Based on Phase 2 Data
Zhili Qiao, Yu Du, Jitong Lou, et al.
Statistics in Medicine
|
March 10, 2006
Estimating the response rate in the presence of measurement error
Yongming Qu, Pandurang M Kulkarni, Todd M Sanger
Statistics in Medicine
|
May 14, 2024
A unified Bayesian framework for bias adjustment in multiple comparisons from clinical trials
Yu Du, Jianghao Li, Sohini Raha, et al.
Pharmaceutical Statistics
|
March 12, 2022
Analysis of an incomplete binary outcome dichotomized from an underlying continuous variable in clinical trials
Chenchen Ma, Xin Shen, Yongming Qu, et al.
Statistics in Medicine
|
November 17, 2011
A new classification approach for comparing two active treatments when there is no prior projection on which one is better
Yongming Qu, Rong Liu, Alexei Dmitrienko, et al.
Pharmaceutical Statistics
|
April 7, 2020
Estimation of group means in generalized linear mixed models
Jiexin Duan, Michael Levine, Junxiang Luo, et al.
Page
of 8
Search research articles
Search
Showing results (31-40 of 80) with videos related to
Sort By:
Page
of 8
Statistics in Medicine
|
April 17, 2013
Sensitivity in statistical evaluation of biomarkers
Wen Li, Yongming Qu, Pandurang M Kulkarni
Therapeutic Innovation & Regulatory Science
|
December 21, 2022
Accurate Collection of Reasons for Treatment Discontinuation to Better Define Estimands in Clinical Trials
Yongming Qu, Robin D White, Stephen J Ruberg
Pharmaceutical Statistics
|
March 1, 2012
A Bayesian approach to the statistical analysis of device preference studies
Haoda Fu, Yongming Qu, Baojin Zhu, et al.
Statistics in Medicine
|
September 17, 2020
Understanding and adjusting for the selection bias from a proof-of-concept study to a more confirmatory study
Yongming Qu, Yu Du, Ying Zhang, et al.
Therapeutic Innovation & Regulatory Science
|
June 18, 2026
Predicting the Treatment Regimen Estimand in Phase 3 Studies from the Estimated Efficacy Estimand Based on Phase 2 Data
Zhili Qiao, Yu Du, Jitong Lou, et al.
Statistics in Medicine
|
March 10, 2006
Estimating the response rate in the presence of measurement error
Yongming Qu, Pandurang M Kulkarni, Todd M Sanger
Statistics in Medicine
|
May 14, 2024
A unified Bayesian framework for bias adjustment in multiple comparisons from clinical trials
Yu Du, Jianghao Li, Sohini Raha, et al.
Pharmaceutical Statistics
|
March 12, 2022
Analysis of an incomplete binary outcome dichotomized from an underlying continuous variable in clinical trials
Chenchen Ma, Xin Shen, Yongming Qu, et al.
Statistics in Medicine
|
November 17, 2011
A new classification approach for comparing two active treatments when there is no prior projection on which one is better
Yongming Qu, Rong Liu, Alexei Dmitrienko, et al.
Pharmaceutical Statistics
|
April 7, 2020
Estimation of group means in generalized linear mixed models
Jiexin Duan, Michael Levine, Junxiang Luo, et al.
Page
of 8