31 citations · 116 across the 22 of their papers we have counts for
7 papers · 1 filter
A unified analysis of regression adjustment in randomized experiments
Katarzyna Reluga, Ting Ye, Qingyuan Zhao
Regression adjustment is broadly applied in randomized trials under the premise that it usually improves the precision of a treatment effect estimator. However, previous work has s…
Structural mean models for instrumented difference-in-differences
Tat-Thang Vo, Ting Ye, Ashkan Ertefaie +5
In the standard difference-in-differences research design, the parallel trends assumption may be violated when the relationship between the exposure trend and the outcome trend is…
The Role of Placebo Samples in Observational Studies
Ting Ye, Shuxiao Chen, Bo Zhang
In an observational study, it is common to leverage known null effect to detect bias. One such strategy is to set aside a placebo sample -- a subset of data immune from the hypothe…
Nonparametric identification of causal effects in clustered observational studies with differential selection
Ting Ye, Ted Westling, Lindsay Page +1
The clustered observational study (COS) design is the observational study counterpart to the clustered randomized trial. In a COS, a treatment is assigned to intact groups, and all…
A Focusing Framework for Testing Bi-Directional Causal Effects with GWAS Summary Data
Sai Li, Ting Ye
Mendelian randomization (MR) is a powerful method that uses genetic variants as instrumental variables (IVs) to infer the causal effect of a modifiable exposure on an outcome. Alth…
Testing for Treatment Effect Twice Using Internal and External Controls in Clinical Trials
Yanyao Yi, Ying Zhang, Yu Du +1
Leveraging external controls -- relevant individual patient data under control from external trials or real-world data -- has the potential to reduce the cost of randomized control…