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Layla Parast

Showing results (11-20 of 108) with videos related to

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Statistics in Medicine|May 11, 2020
Quantifying the bias due to observed individual confounders in causal treatment effect estimatesLayla Parast, Beth Ann Griffin
Biometrics|December 10, 2016
Discussion of "A risk-based measure of time-varying prognostic discrimination for survival models," by C. Jason Liang and Patrick J. HeagertyLayla Parast, Carolyn M Rutter
Lifetime Data Analysis|February 17, 2016
Landmark estimation of survival and treatment effects in observational studiesLayla Parast, Beth Ann Griffin
Biometrics|April 23, 2019
Using a surrogate marker for early testing of a treatment effectLayla Parast, Tianxi Cai, Lu Tian
Statistics in Medicine|July 13, 2010
Meta-analysis for rare eventsTianxi Cai, Layla Parast, Louise Ryan
Biometrics|December 7, 2021
Testing for heterogeneity in the utility of a surrogate markerLayla Parast, Tianxi Cai, Lu Tian
Lifetime Data Analysis|April 14, 2019
Assessing the value of a censored surrogate outcomeLayla Parast, Lu Tian, Tianxi Cai
Statistics in Medicine|February 6, 2025
A General Framework to Assess Complex Heterogeneity in the Strength of a Surrogate MarkerRebecca Knowlton, Lu Tian, Layla Parast
Journal of Nonparametric Statistics|August 29, 2025
Avoiding the Surrogate Paradox: An Empirical Framework for Assessing AssumptionsEmily Hsiao, Lu Tian, Layla Parast
Journal of the American Statistical Association|March 25, 2014
Landmark Estimation of Survival and Treatment Effect in a Randomized Clinical TrialLayla Parast, Lu Tian, Tianxi Cai
Pageof 11

Showing results (11-20 of 108) with videos related to

Sort By:
Pageof 11
Statistics in Medicine|May 11, 2020
Quantifying the bias due to observed individual confounders in causal treatment effect estimatesLayla Parast, Beth Ann Griffin
Biometrics|December 10, 2016
Discussion of "A risk-based measure of time-varying prognostic discrimination for survival models," by C. Jason Liang and Patrick J. HeagertyLayla Parast, Carolyn M Rutter
Lifetime Data Analysis|February 17, 2016
Landmark estimation of survival and treatment effects in observational studiesLayla Parast, Beth Ann Griffin
Biometrics|April 23, 2019
Using a surrogate marker for early testing of a treatment effectLayla Parast, Tianxi Cai, Lu Tian
Statistics in Medicine|July 13, 2010
Meta-analysis for rare eventsTianxi Cai, Layla Parast, Louise Ryan
Biometrics|December 7, 2021
Testing for heterogeneity in the utility of a surrogate markerLayla Parast, Tianxi Cai, Lu Tian
Lifetime Data Analysis|April 14, 2019
Assessing the value of a censored surrogate outcomeLayla Parast, Lu Tian, Tianxi Cai
Statistics in Medicine|February 6, 2025
A General Framework to Assess Complex Heterogeneity in the Strength of a Surrogate MarkerRebecca Knowlton, Lu Tian, Layla Parast
Journal of Nonparametric Statistics|August 29, 2025
Avoiding the Surrogate Paradox: An Empirical Framework for Assessing AssumptionsEmily Hsiao, Lu Tian, Layla Parast
Journal of the American Statistical Association|March 25, 2014
Landmark Estimation of Survival and Treatment Effect in a Randomized Clinical TrialLayla Parast, Lu Tian, Tianxi Cai
Pageof 11