131 citations · 352 across the 94 of their papers we have counts for
6 papers · 1 filter
Propensity score matching for estimating a marginal hazard ratio
Tongrong Wang, Honghe Zhao, Shu Yang +4
Propensity score matching is commonly used to draw causal inference from observational survival data. However, its asymptotic properties have yet to be established, and variance es…
A Unified Inference Framework for Multiple Imputation Using Martingales
Qian Guan, Shu Yang
Multiple imputation is widely used to handle missing data. Although Rubin's combining rule is simple, it is not clear whether or not the standard multiple imputation inference is c…
Matrix Completion for Survey Data Prediction with Multivariate Missingness
Xiaojun Mao, Zhonglei Wang, Shu Yang
The National Health and Nutrition Examination Survey (NHANES) studies the nutritional and health status over the whole U.S. population with comprehensive physical examinations and…
Identifiability of causal effects with multiple causes and a binary outcome
Dehan Kong, Shu Yang, Linbo Wang
Unobserved confounding presents a major threat to causal inference from observational studies. Recently, several authors suggest that this problem may be overcome in a shared confo…
Estimating Average Treatment Effects Utilizing Fractional Imputation when Confounders are Subject to Missingness
Nathan Corder, Shu Yang
The problem of missingness in observational data is ubiquitous. When the confounders are missing at random, multiple imputation is commonly used; however, the method requires conge…
Doubly Robust Inference when Combining Probability and Non-probability Samples with High-dimensional Data
Shu Yang, Jae Kwang Kim, Rui Song
Non-probability samples become increasingly popular in survey statistics but may suffer from selection biases that limit the generalizability of results to the target population. W…