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Biostatistics (Oxford, England)|November 24, 2019
Dynamic landmark prediction for mixture dataTanya P Garcia, Layla Parast
Statistics in Medicine|May 11, 2020
Quantifying the bias due to observed individual confounders in causal treatment effect estimatesLayla Parast, Beth Ann Griffin
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
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
Statistics in Medicine|May 30, 2024
Assessing heterogeneity in surrogacy using censored dataLayla Parast, Lu Tian, Tianxi Cai
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