41 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of PennsylvaniaUS17 papers
- Wharton County Junior CollegeUS14 papers
- Rutgers, The State University of New JerseyUS3 papers
- Microsoft Research New England (United States)US2 papers
- University of the ArtsUS2 papers
- Applied Mathematics (United States)US1 paper
- Brigham and Women's HospitalUS1 paper
- Carnegie Mellon UniversityUS1 paper
- Department of Physics, Mathematics and InformaticsBY1 paper
- Harvard UniversityUS1 paper
- Kaiser Permanente Washington Health Research InstituteUS1 paper
- Massachusetts Institute of TechnologyUS1 paper
7 papers · 1 filter
A Test for Differential Ascertainment in Case-Control Studies with Application to Child Maltreatment
Matteo Sordello, Dylan S. Small
We propose a method to test for the presence of differential ascertainment in case-control studies, when data are collected by multiple sources. We show that, when differential asc…
A general approach to detect gene (G)-environment (E) additive interaction leveraging G-E independence in case-control studies
Eric J. Tchetgen Tchetgen, Xu Shi, Tamar Sofer +1
It is increasingly of interest in statistical genetics to test for the presence of a mechanistic interaction between genetic (G) and environmental (E) risk factors by testing for t…
Multiply Robust Causal Inference with Double Negative Control Adjustment for Categorical Unmeasured Confounding
Xu Shi, Wang Miao, Jennifer C. Nelson +1
Unmeasured confounding is a threat to causal inference in observational studies. In recent years, use of negative controls to mitigate unmeasured confounding has gained increasing…
A Sparse PCA Approach to Clustering
T. Tony Cai, Linjun Zhang
We discuss a clustering method for Gaussian mixture model based on the sparse principal component analysis (SPCA) method and compare it with the IF-PCA method. We also discuss the…
Covariate Balancing Propensity Score by Tailored Loss Functions
Qingyuan Zhao
In observational studies, propensity scores are commonly estimated by maxi- mum likelihood but may fail to balance high-dimensional pre-treatment covariates even after specificatio…
High-Dimensional Gaussian Copula Regression: Adaptive Estimation and Statistical Inference
T. Tony Cai, Linjun Zhang
We develop adaptive estimation and inference methods for high-dimensional Gaussian copula regression that achieve the same performance without the knowledge of the marginal transfo…
Instrumental Variables Estimation with Some Invalid Instruments and its Application to Mendelian Randomization
Hyunseung Kang, Anru Zhang, T. Tony Cai +1
Instrumental variables have been widely used for estimating the causal effect between exposure and outcome. Conventional estimation methods require complete knowledge about all the…