pprof: Modeling, Standardization and Testing for Provider Profiling
Xiaohan Liu, Lingfeng Luo, Yubo Shao, Xiangeng Fang, Wenbo Wu, Kevin He · 2024
Implements linear and generalized linear models for provider profiling, incorporating both fixed and random effects. For large-scale providers, the linear profiled-based method and the SerBIN method for binary data reduce the computational burden. Provides post-modeling features, such as indirect and direct standardization measures, hypothesis testing, confidence intervals, and post-estimation visualization. For more information, see Wu et al. (2022) .