activity
20092022
most citedAsymptotic theory for the semiparametric accelerated failure time model with missing data

40 citations · 43 across the 3 of their papers we have counts for

collaborators

5 papers

stat.ME20222 cited

Policy Learning for Optimal Individualized Dose Intervals

Guanhua Chen, Xiaomao Li, Menggang Yu

We study the problem of learning individualized dose intervals using observational data. There are very few previous works for policy learning with continuous treatment, and all of…

stat.ME20211 cited

Studentized Permutation Method for Comparing Restricted Mean Survival Times with Small Sample from Randomized Trials

Marc Ditzhaus, Menggang Yu, Jin Xu

Recent observations, especially in cancer immunotherapy clinical trials with time-to-event outcomes, show that the commonly used proportial hazard assumption is often not justifiab…

stat.CO2018

Subgroup Identification Using the personalized Package

Jared D. Huling, Menggang Yu

A plethora of disparate statistical methods have been proposed for subgroup identification to help tailor treatment decisions for patients. However a majority of them do not have c…

stat.ME2018

A Semiparametric Approach to Model Effect Modification

Muxuan Liang, Menggang Yu

One fundamental statistical question for research areas such as precision medicine and health disparity is about discovering effect modification of treatment or exposure by observe…

math.ST200940 cited

Asymptotic theory for the semiparametric accelerated failure time model with missing data

Bin Nan, John D. Kalbfleisch, Menggang Yu

We consider a class of doubly weighted rank-based estimating methods for the transformation (or accelerated failure time) model with missing data as arise, for example, in case-coh…