78 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Yale UniversityUS15 papers
- Harvard UniversityUS4 papers
- Rutgers, The State University of New JerseyUS3 papers
- Yale New Haven HospitalUS3 papers
- Cancer Research And BiostatisticsUS2 papers
- Imperial College LondonGB2 papers
- University of California San DiegoUS2 papers
- All India Institute of Medical SciencesIN1 paper
- Amsterdam UMC Location Vrije Universiteit AmsterdamNL1 paper
- Arizona State UniversityUS1 paper
- Brigham and Women's HospitalUS1 paper
- Chinese Academy of Medical Sciences & Peking Union Medical CollegeCN1 paper
8 papers · 1 filter
Improving Transportability of Regression Calibration Under the Main/External Validation Study Design
Zexiang Li, Donna Spiegelman, Molin Wang +2
In epidemiology, obtaining accurate individual exposure measurements can be costly and challenging. Thus, these measurements are often subject to error. Regression calibration with…
A tutorial on conducting sample size and power calculations for detecting treatment effect heterogeneity in cluster randomized trials with linear mixed models
Mary Ryan Baumann, Monica Taljaard, Patrick J. Heagerty +4
Cluster-randomized trials (CRTs) are a well-established class of designs for evaluating community-based interventions. An essential task in planning these trials is determining the…
A flexible Bayesian g-formula for causal survival analyses with time-dependent confounding
Xinyuan Chen, Liangyuan Hu, Fan Li
In longitudinal observational studies with time-to-event outcomes, a common objective in causal analysis is to estimate the causal survival curve under hypothetical intervention sc…
Maximin optimal cluster randomized designs for assessing treatment effect heterogeneity
Mary M. Ryan, Denise Esserman, Fan Li
Cluster randomized trials (CRTs) are studies where treatment is randomized at the cluster level but outcomes are typically collected at the individual level. When CRTs are employed…
Causal Selection of Covariates in Regression Calibration for Mismeasured Continuous Exposure
Wenze Tang, Donna Spiegelman, Xiaomei Liao +1
Regression calibration as developed by Rosner, Spiegelman and Willet is used to correct the bias in effect estimates due to measurement error in continuous exposures. The method in…
Conditional Cross-Design Synthesis Estimators for Generalizability in Medicaid
Irina Degtiar, Tim Layton, Jacob Wallace +1
While much of the causal inference literature has focused on addressing internal validity biases, both internal and external validity are necessary for unbiased estimates in a targ…
Generalizing trial evidence to target populations in non-nested designs: Applications to AIDS clinical trials
Fan Li, Ashley L. Buchanan, Stephen R. Cole
Comparative effectiveness evidence from randomized trials may not be directly generalizable to a target population of substantive interest when, as in most cases, trial participant…
Semi-Penalized Inference with Direct False Discovery Rate Control in High-Dimensions
Jian Huang, Shuangge Ma, Cun-Hui Zhang +1
We propose a new method, semi-penalized inference with direct false discovery rate control (SPIDR), for variable selection and confidence interval construction in high-dimensional…