5 papers · 1 filter
A sensitivity analysis for the average derivative effect
Jeffrey Zhang
In observational studies, exposures are often continuous rather than binary or discrete. At the same time, sensitivity analysis is an important tool that can help determine the rob…
Randomization inference for stepped-wedge designs with noncompliance with application to a palliative care pragmatic trial
Jeffrey Zhang, Zhe Chen, Xinyuan Chen +5
While palliative care is increasingly commonly delivered to hospitalized patients with serious illnesses, few studies have estimated its causal effects. Courtright et al. (2016) ad…
A general condition for bias attenuation by a nondifferentially mismeasured confounder
Jeffrey Zhang, Junu Lee
In real-world studies, the collected confounders may suffer from measurement error. Although mismeasurement of confounders is typically unintentional -- originating from sources su…
Doubly robust and computationally efficient high-dimensional variable selection
Abhinav Chakraborty, Jeffrey Zhang, Eugene Katsevich
Variable selection can be performed by testing conditional independence (CI) between each predictor and the response, given the other predictors. A doubly robust and powerful optio…
A Differential Effect Approach to Partial Identification of Treatment Effects
Kan Chen, Jeffrey Zhang, Bingkai Wang +1
We consider identification and inference for the average treatment effect and heterogeneous treatment effect conditional on observable covariates in the presence of unmeasured conf…