72 citations · 132 across the 17 of their papers we have counts for
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Model-assisted sensitivity analysis for treatment effects under unmeasured confounding via regularized calibrated estimation
Zhiqiang Tan
Consider sensitivity analysis for estimating average treatment effects under unmeasured confounding, assumed to satisfy a marginal sensitivity model. At the population level, we pr…
Imputation Maximization Stochastic Approximation with Application to Generalized Linear Mixed Models
Zexi Song, Zhiqiang Tan
Generalized linear mixed models are useful in studying hierarchical data with possibly non-Gaussian responses. However, the intractability of likelihood functions poses challenges…
High-dimensional model-assisted inference for treatment effects with multi-valued treatments
Wenfu Xu, Zhiqiang Tan
Consider estimation of average treatment effects with multi-valued treatments using augmented inverse probability weighted (IPW) estimators, depending on outcome regression and pro…
Model-Assisted Inference for Covariate-Specific Treatment Effects with High-dimensional Data
Peng Wu, Zhiqiang Tan, Wenjie Hu +1
Covariate-specific treatment effects (CSTEs) represent heterogeneous treatment effects across subpopulations defined by certain selected covariates. In this article, we consider ma…
Consistent and robust inference in hazard probability and odds models with discrete-time survival data
Zhiqiang Tan
For discrete-time survival data, conditional likelihood inference in Cox's hazard odds model is theoretically desirable but exact calculation is numerical intractable with a modera…
Doubly Robust Semiparametric Inference Using Regularized Calibrated Estimation with High-dimensional Data
Satyajit Ghosh, Zhiqiang Tan
Consider semiparametric estimation where a doubly robust estimating function for a low-dimensional parameter is available, depending on two working models. With high-dimensional da…