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Weichung Joe Shih

Showing results (1-10 of 52) with videos related to

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Biometrical Journal. Biometrische Zeitschrift|September 16, 2006
Plan to be flexible: a commentary on adaptive designsWeichung Joe Shih
Statistics in Medicine|July 5, 2016
Comments on the three papers by the FDA/CDER research team on the regulatory perspective of the missing data problemWeichung Joe Shih
Statistics in Medicine|October 13, 2005
Group sequential, sample size re-estimation and two-stage adaptive designs in clinical trials: a comparisonWeichung Joe Shih
Clinical Trials (London, England)|November 11, 2005
Use of joint models to assess treatment effects on disease markers and clinical events: the Proscar Long-Term Efficacy and Safety Study (PLESS)Weili He, Weichung Joe Shih
Statistics in Medicine|December 6, 2017
Relative efficiency of precision medicine designs for clinical trials with predictive biomarkersWeichung Joe Shih, Yong Lin
Contemporary Clinical Trials|December 18, 2015
Methods for flexible sample-size design in clinical trials: Likelihood, weighted, dual test, and promising zone approachesWeichung Joe Shih, Gang Li, Yining Wang
Statistics in Medicine|January 16, 2010
On Simon's two-stage design for single-arm phase IIA cancer clinical trials under beta-binomial distributionJunfeng Liu, Yong Lin, Weichung Joe Shih
Journal of Biopharmaceutical Statistics|June 2, 2012
Estimation of treatment effect following a clinical trial with adaptive designXiaolong Luo, Mingyu Li, Weichung Joe Shih, et al.
Pharmaceutical Statistics|September 28, 2010
An optimal adaptive design to address local regulations in global clinical trialsXiaolong Luo, Weichung Joe Shih, S Peter Ouyang, et al.
Bioinformatics (Oxford, England)|May 18, 2004
A mixture model for estimating the local false discovery rate in DNA microarray analysisJ G Liao, Yong Lin, Zachariah E Selvanayagam, et al.
Pageof 6

Showing results (1-10 of 52) with videos related to

Sort By:
Pageof 6
Biometrical Journal. Biometrische Zeitschrift|September 16, 2006
Plan to be flexible: a commentary on adaptive designsWeichung Joe Shih
Statistics in Medicine|July 5, 2016
Comments on the three papers by the FDA/CDER research team on the regulatory perspective of the missing data problemWeichung Joe Shih
Statistics in Medicine|October 13, 2005
Group sequential, sample size re-estimation and two-stage adaptive designs in clinical trials: a comparisonWeichung Joe Shih
Clinical Trials (London, England)|November 11, 2005
Use of joint models to assess treatment effects on disease markers and clinical events: the Proscar Long-Term Efficacy and Safety Study (PLESS)Weili He, Weichung Joe Shih
Statistics in Medicine|December 6, 2017
Relative efficiency of precision medicine designs for clinical trials with predictive biomarkersWeichung Joe Shih, Yong Lin
Contemporary Clinical Trials|December 18, 2015
Methods for flexible sample-size design in clinical trials: Likelihood, weighted, dual test, and promising zone approachesWeichung Joe Shih, Gang Li, Yining Wang
Statistics in Medicine|January 16, 2010
On Simon's two-stage design for single-arm phase IIA cancer clinical trials under beta-binomial distributionJunfeng Liu, Yong Lin, Weichung Joe Shih
Journal of Biopharmaceutical Statistics|June 2, 2012
Estimation of treatment effect following a clinical trial with adaptive designXiaolong Luo, Mingyu Li, Weichung Joe Shih, et al.
Pharmaceutical Statistics|September 28, 2010
An optimal adaptive design to address local regulations in global clinical trialsXiaolong Luo, Weichung Joe Shih, S Peter Ouyang, et al.
Bioinformatics (Oxford, England)|May 18, 2004
A mixture model for estimating the local false discovery rate in DNA microarray analysisJ G Liao, Yong Lin, Zachariah E Selvanayagam, et al.
Pageof 6