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Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology
|
November 25, 2024
Using Cure Models for Trial Analysis and Design
Michael L LeBlanc
Biometrics
|
October 11, 2019
Designing precision medicine trials to yield a greater population impact
Ying-Qi Zhao, Michael L LeBlanc
Biometrical Journal. Biometrische Zeitschrift
|
December 31, 2021
Restricted survival benefit with right-censored data
Shixiao Zhang, Michael L LeBlanc, Ying-Qi Zhao
Statistics in Medicine
|
September 11, 2019
Quantifying treatment effects using the personalized chance of longer survival
Ying-Qi Zhao, Mary W Redman, Michael L LeBlanc
Statistics in Medicine
|
February 25, 2012
Distribution-free inference on contrasts of arbitrary summary measures of survival
Kyle D Rudser, Michael L LeBlanc, Scott S Emerson
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research
|
June 8, 2012
Cure models as a useful statistical tool for analyzing survival
Megan Othus, Bart Barlogie, Michael L Leblanc, et al.
Statistical Methods in Medical Research
|
July 25, 2024
Estimating individualized treatment rules by optimizing the adjusted probability of a longer survival
Qijia He, Shixiao Zhang, Michael L LeBlanc, et al.
Electronic Journal of Statistics
|
August 24, 2019
Robustifying Trial-Derived Optimal Treatment Rules for A Target Population
Ying-Qi Zhao, Donglin Zeng, Catherine M Tangen, et al.
Plos One
|
August 11, 2011
A strategy for full interrogation of prognostic gene expression patterns: exploring the biology of diffuse large B cell lymphoma
Lisa M Rimsza, Joseph M Unger, Margaret E Tome, et al.
Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology
|
October 26, 2020
Reply to E. Hawkes et al
Daniel O Persky, Sonali M Smith, Michael L LeBlanc, et al.
Page
of 3
Search research articles
Search
Showing results (1-10 of 27) with videos related to
Sort By:
Page
of 3
Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology
|
November 25, 2024
Using Cure Models for Trial Analysis and Design
Michael L LeBlanc
Biometrics
|
October 11, 2019
Designing precision medicine trials to yield a greater population impact
Ying-Qi Zhao, Michael L LeBlanc
Biometrical Journal. Biometrische Zeitschrift
|
December 31, 2021
Restricted survival benefit with right-censored data
Shixiao Zhang, Michael L LeBlanc, Ying-Qi Zhao
Statistics in Medicine
|
September 11, 2019
Quantifying treatment effects using the personalized chance of longer survival
Ying-Qi Zhao, Mary W Redman, Michael L LeBlanc
Statistics in Medicine
|
February 25, 2012
Distribution-free inference on contrasts of arbitrary summary measures of survival
Kyle D Rudser, Michael L LeBlanc, Scott S Emerson
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research
|
June 8, 2012
Cure models as a useful statistical tool for analyzing survival
Megan Othus, Bart Barlogie, Michael L Leblanc, et al.
Statistical Methods in Medical Research
|
July 25, 2024
Estimating individualized treatment rules by optimizing the adjusted probability of a longer survival
Qijia He, Shixiao Zhang, Michael L LeBlanc, et al.
Electronic Journal of Statistics
|
August 24, 2019
Robustifying Trial-Derived Optimal Treatment Rules for A Target Population
Ying-Qi Zhao, Donglin Zeng, Catherine M Tangen, et al.
Plos One
|
August 11, 2011
A strategy for full interrogation of prognostic gene expression patterns: exploring the biology of diffuse large B cell lymphoma
Lisa M Rimsza, Joseph M Unger, Margaret E Tome, et al.
Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology
|
October 26, 2020
Reply to E. Hawkes et al
Daniel O Persky, Sonali M Smith, Michael L LeBlanc, et al.
Page
of 3