11 citations · 23 across the 6 of their papers we have counts for
6 papers
Towards Optimal Use of Surrogate Markers to Improve Power
Xuan Wang, Layla Parast, Lu Tian +1
Motivated by increasing pressure for decision makers to shorten the time required to evaluate the efficacy of a treatment such that treatments deemed safe and effective can be made…
Using a Surrogate with Heterogeneous Utility to Test for a Treatment Effect
Layla Parast, Tianxi Cai, Lu Tian
The primary benefit of identifying a valid surrogate marker is the ability to use it in a future trial to test for a treatment effect with shorter follow-up time or less cost. Howe…
Bounds on the conditional and average treatment effect with unobserved confounding factors
Steve Yadlowsky, Hongseok Namkoong, Sanjay Basu +2
For observational studies, we study the sensitivity of causal inference when treatment assignments may depend on unobserved confounders. We develop a loss minimization approach for…
Evaluating Surrogate Marker Information using Censored Data
Layla Parast, Tianxi Cai, Lu Tian
Given the long follow-up periods that are often required for treatment or intervention studies, the potential to use surrogate markers to decrease the required follow-up time is a…
A Simple Method for Detecting Interactions between a Treatment and a Large Number of Covariates
Lu Tian, Ash Alizadeh, Andrew Gentles +1
We consider a setting in which we have a treatment and a large number of covariates for a set of observations, and wish to model their relationship with an outcome of interest. We…
Nonparametric inference procedure for percentiles of the random effects distribution in meta-analysis
Rui Wang, Lu Tian, Tianxi Cai +1
To investigate whether treating cancer patients with erythropoiesis-stimulating agents (ESAs) would increase the mortality risk, Bennett et al. [Journal of the American Medical Ass…