157 citations · 173 across the 8 of their papers we have counts for
Showing 2018Show all
3 papers · 1 filter
stat.ME2018
Matching Algorithms for Causal Inference with Multiple Treatments
Anthony D. Scotina, Roee Gutman
Randomized clinical trials (RCTs) are ideal for estimating causal effects, because the distributions of background covariates are similar in expectation across treatment groups. Wh…
stat.ME2018
Matching Estimators for Causal Effects of Multiple Treatments
Anthony D. Scotina, Francesca L. Beaudoin, Roee Gutman
Matching estimators for average treatment effects are widely used in the binary treatment setting, in which missing potential outcomes are imputed as the average of observed outcom…
stat.ME2018★ 8 cited
Development of a Common Patient Assessment Scale across the Continuum of Care: A Nested Multiple Imputation Approach
Chenyang Gu, Roee Gutman
Evaluating and tracking patients' functional status through the post-acute care continuum requires a common instrument. However, different post-acute service providers such as nurs…