ArticleCommunications in statistics: Simulation and computation2019
Performance Characteristics of Profiling Methods and the Impact of Inadequate Case-mix Adjustment.
Article in Communications in statistics: Simulation and computation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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Who cites it
10 citing papers in PubMed.
- Standardized survival probabilities and contrasts between hierarchical units in multilevel survival models.BMC medical research methodology · 2026Article
- Flagging unusual clusters based on linear mixed models using weighted and self-calibrated predictors.Biometrics · 2024Article
- Test-specific funnel plots for healthcare provider profiling leveraging individual- and summary-level information.Health services & outcomes research methodology · 2023Article
- High-Dimensional Fixed Effects Profiling Models and Applications in End-Stage Kidney Disease Patients: Current State and Future Directions.International journal of statistics in medical research · 2023Article
- MEASURING PERFORMANCE FOR END-OF-LIFE CARE.The annals of applied statistics · 2022Article
- Modelling hospital outcome: problems with endogeneity.BMC medical research methodology · 2021Article
- Fixed Effects High-Dimensional Profiling Models in Low Information Context.International journal of statistics in medical research · 2021Article
- Profiling dialysis facilities for adverse recurrent events.Statistics in medicine · 2020Article
- Impact of Case-Mix Measurement Error on Estimation and Inference in Profiling of Health Care Providers.Communications in statistics: Simulation and computation · 2020Article
- Rejoinder: Time-dynamic profiling with application to hospital readmission among patients on dialysis.Biometrics · 2018Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Profiling or evaluation of health care providers involves the application of statistical models to compare each provider's performance with respect to a patient outcome, such as unplanned 30-day hospital readmission, adjusted for patient case-mix characteristics. The nationally adopted method is based on random effects (RE) hierarchical logistic regression models. Although RE models are sensible for modeling hierarchical data, novel high dimensional fixed effects (FE) models have been proposed which may be well-suited for the objective of identifying sub-standard performance. However, there are limited comparative studies. Thus, we examine their relative performance, including the impact of inadequate case-mix adjustment.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.