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Journal of Biopharmaceutical Statistics
|
January 8, 2014
Strategies for identifying predictive biomarkers and subgroups with enhanced treatment effect in clinical trials using SIDES
Ilya Lipkovich, Alex Dmitrienko
Therapeutic Innovation & Regulatory Science
|
May 13, 2021
Implementation of ICH E9 (R1): A Few Points Learned During the COVID-19 Pandemic
Yongming Qu, Ilya Lipkovich
Statistics in Medicine
|
February 18, 2009
Propensity score estimation with missing values using a multiple imputation missingness pattern (MIMP) approach
Yongming Qu, Ilya Lipkovich
Statistics in Biopharmaceutical Research
|
June 30, 2021
The Impact of Major Events on Ongoing Noninferiority Trials, With Application to COVID-19
Brian L Wiens, Ilya Lipkovich
Statistics in Medicine
|
August 2, 2017
Multiplicity considerations in subgroup analysis
Alex Dmitrienko, Brian Millen, Ilya Lipkovich
Statistics in Medicine
|
August 5, 2016
Tutorial in biostatistics: data-driven subgroup identification and analysis in clinical trials
Ilya Lipkovich, Alex Dmitrienko, Ralph B
Journal of Biopharmaceutical Statistics
|
March 14, 2017
Bridging data across studies using frequentist and Bayesian estimation
Teng Zhang, Ilya Lipkovich, Olga Marchenko
Pharmaceutical Statistics
|
March 22, 2016
Sensitivity to censored-at-random assumption in the analysis of time-to-event endpoints
Ilya Lipkovich, Bohdana Ratitch, Michael O'Kelly
Therapeutic Innovation & Regulatory Science
|
July 30, 2021
Data-Driven Subgroup Identification in Confirmatory Clinical Trials
Pierre Bunouf, Mélanie Groc, Alex Dmitrienko, et al.
Statistics in Medicine
|
July 26, 2011
Subgroup identification based on differential effect search--a recursive partitioning method for establishing response to treatment in patient subpopulations
Ilya Lipkovich, Alex Dmitrienko, Jonathan Denne, et al.
Page
of 7
Search research articles
Search
Showing results (1-10 of 61) with videos related to
Sort By:
Page
of 7
Journal of Biopharmaceutical Statistics
|
January 8, 2014
Strategies for identifying predictive biomarkers and subgroups with enhanced treatment effect in clinical trials using SIDES
Ilya Lipkovich, Alex Dmitrienko
Therapeutic Innovation & Regulatory Science
|
May 13, 2021
Implementation of ICH E9 (R1): A Few Points Learned During the COVID-19 Pandemic
Yongming Qu, Ilya Lipkovich
Statistics in Medicine
|
February 18, 2009
Propensity score estimation with missing values using a multiple imputation missingness pattern (MIMP) approach
Yongming Qu, Ilya Lipkovich
Statistics in Biopharmaceutical Research
|
June 30, 2021
The Impact of Major Events on Ongoing Noninferiority Trials, With Application to COVID-19
Brian L Wiens, Ilya Lipkovich
Statistics in Medicine
|
August 2, 2017
Multiplicity considerations in subgroup analysis
Alex Dmitrienko, Brian Millen, Ilya Lipkovich
Statistics in Medicine
|
August 5, 2016
Tutorial in biostatistics: data-driven subgroup identification and analysis in clinical trials
Ilya Lipkovich, Alex Dmitrienko, Ralph B
Journal of Biopharmaceutical Statistics
|
March 14, 2017
Bridging data across studies using frequentist and Bayesian estimation
Teng Zhang, Ilya Lipkovich, Olga Marchenko
Pharmaceutical Statistics
|
March 22, 2016
Sensitivity to censored-at-random assumption in the analysis of time-to-event endpoints
Ilya Lipkovich, Bohdana Ratitch, Michael O'Kelly
Therapeutic Innovation & Regulatory Science
|
July 30, 2021
Data-Driven Subgroup Identification in Confirmatory Clinical Trials
Pierre Bunouf, Mélanie Groc, Alex Dmitrienko, et al.
Statistics in Medicine
|
July 26, 2011
Subgroup identification based on differential effect search--a recursive partitioning method for establishing response to treatment in patient subpopulations
Ilya Lipkovich, Alex Dmitrienko, Jonathan Denne, et al.
Page
of 7