4 citations · 7 across the 4 of their papers we have counts for
4 papers · 1 filter
An Inverse Probability Weighted Regression Method that Accounts for Right-censoring for Causal Inference with Multiple Treatments and a Binary Outcome
Youfei Yu, Min Zhang, Bhramar Mukherjee
Comparative effectiveness research often involves evaluating the differences in the risks of an event of interest between two or more treatments using observational data. Often, th…
Methods for Large-scale Single Mediator Hypothesis Testing: Possible Choices and Comparisons
Jiacong Du, Xiang Zhou, Wei Hao +3
Mediation hypothesis testing for a large number of mediators is challenging due to the composite structure of the null hypothesis, H0:alpha*beta=0 (alpha: effect of the exposure on…
A meta-inference framework to integrate multiple external models into a current study
Tian Gu, Jeremy M. G. Taylor, Bhramar Mukherjee
It is becoming increasingly common for researchers to consider incorporating external information from large studies to improve the accuracy of statistical inference instead of rel…
Variable selection with multiply-imputed datasets: choosing between stacked and grouped methods
Jiacong Du, Jonathan Boss, Peisong Han +5
Penalized regression methods, such as lasso and elastic net, are used in many biomedical applications when simultaneous regression coefficient estimation and variable selection is…