46 citations · 47 across the 3 of their papers we have counts for
3 papers
stat.ME2023
Scalable kernel balancing weights in a nationwide observational study of hospital profit status and heart attack outcomes
Kwangho Kim, Bijan A. Niknam, José R. Zubizarreta
Weighting is a general and often-used method for statistical adjustment. Weighting has two objectives: first, to balance covariate distributions, and second, to ensure that the wei…
stat.ME2022★ 1 cited
Privacy-Preserving, Communication-Efficient, and Target-Flexible Hospital Quality Measurement
Larry Han, Yige Li, Bijan A. Niknam +1
Integrating information from multiple data sources can enable more precise, timely, and generalizable decisions. However, it is challenging to make valid causal inferences using ob…
stat.ME2022★ 46 cited
Using Cardinality Matching to Design Balanced and Representative Samples for Observational Studies
Bijan A. Niknam, Jose R. Zubizarreta
Cardinality matching is a computational method for finding the largest possible number of matched pairs of exposed and unexposed individuals from an observational dataset, with spe…