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Jeremy M G Taylor

Showing results (1-10 of 213) with videos related to

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Journal of Thoracic Oncology : Official Publication of the International Association for the Study of Lung Cancer|November 18, 2011
Random Survival ForestsJeremy M G Taylor
Lifetime Data Analysis|May 12, 2010
Discussion of "Predictive comparison of joint longitudinal-survival modeling: a case study illustrating competing approaches", by Hanson, Branscum and JohnsonJeremy M G Taylor
Biometrics|September 7, 2016
Residual-based model diagnosis methods for mixture cure modelsYingwei Peng, Jeremy M G Taylor
Statistics in Medicine|January 8, 2011
Mixture cure model with random effects for the analysis of a multi-center tonsil cancer studyYingwei Peng, Jeremy M G Taylor
Statistics in Medicine|January 25, 2024
Optimizing dynamic predictions from joint models using super learningDimitris Rizopoulos, Jeremy M G Taylor
Controlled Clinical Trials|December 31, 2002
Surrogate markers and joint models for longitudinal and survival dataJeremy M G Taylor, Yan Wang
Biometrics|December 24, 2002
A measure of the proportion of treatment effect explained by a surrogate markerYue Wang, Jeremy M G Taylor
Statistics in Medicine|November 11, 2008
Nonparametric comparison of two survival functions with dependent censoring via nonparametric multiple imputationChiu-Hsieh Hsu, Jeremy M G Taylor
Biostatistics (Oxford, England)|April 17, 2009
Development and validation of a dynamic prognostic tool for prostate cancer recurrence using repeated measures of posttreatment PSA: a joint modeling approachCécile Proust-Lima, Jeremy M G Taylor
Biostatistics (Oxford, England)|March 28, 2018
EM algorithms for fitting multistate cure modelsLauren J Beesley, Jeremy M G Taylor
Pageof 22

Showing results (1-10 of 213) with videos related to

Sort By:
Pageof 22
Journal of Thoracic Oncology : Official Publication of the International Association for the Study of Lung Cancer|November 18, 2011
Random Survival ForestsJeremy M G Taylor
Lifetime Data Analysis|May 12, 2010
Discussion of "Predictive comparison of joint longitudinal-survival modeling: a case study illustrating competing approaches", by Hanson, Branscum and JohnsonJeremy M G Taylor
Biometrics|September 7, 2016
Residual-based model diagnosis methods for mixture cure modelsYingwei Peng, Jeremy M G Taylor
Statistics in Medicine|January 8, 2011
Mixture cure model with random effects for the analysis of a multi-center tonsil cancer studyYingwei Peng, Jeremy M G Taylor
Statistics in Medicine|January 25, 2024
Optimizing dynamic predictions from joint models using super learningDimitris Rizopoulos, Jeremy M G Taylor
Controlled Clinical Trials|December 31, 2002
Surrogate markers and joint models for longitudinal and survival dataJeremy M G Taylor, Yan Wang
Biometrics|December 24, 2002
A measure of the proportion of treatment effect explained by a surrogate markerYue Wang, Jeremy M G Taylor
Statistics in Medicine|November 11, 2008
Nonparametric comparison of two survival functions with dependent censoring via nonparametric multiple imputationChiu-Hsieh Hsu, Jeremy M G Taylor
Biostatistics (Oxford, England)|April 17, 2009
Development and validation of a dynamic prognostic tool for prostate cancer recurrence using repeated measures of posttreatment PSA: a joint modeling approachCécile Proust-Lima, Jeremy M G Taylor
Biostatistics (Oxford, England)|March 28, 2018
EM algorithms for fitting multistate cure modelsLauren J Beesley, Jeremy M G Taylor
Pageof 22