Performance characteristics of profiling methods and the impact of inadequate case-mix adjustment

DOI10.1080/03610918.2019.1595649zbMath1497.62277OpenAlexW2934228765WikidataQ104459647 ScholiaQ104459647MaRDI QIDQ5082660

Luis F. Campos, Damla Şentürk, Jason P. Estes, Connie M. Rhee, Danh V. Nguyen, Yanjun Chen, Kamyar Kalantar-Zadeh, Lorien S. Dalrymple

Publication date: 21 June 2022

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7731974

zbMATH Keywords

fixed effectsrandom effectshierarchical logistic regressionprofiling analysis

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (2)

Measuring performance for end-of-life care ⋮ Impact of case-mix measurement error on estimation and inference in profiling of health care providers

Cites Work

• Evaluating hospital readmission rates in dialysis facilities; adjusting for hospital effects
• Statistical and clinical aspects of hospital outcomes profiling
• Flexible distributions for triple-goal estimates in two-stage hierarchical models
• Statistical Methods for Profiling Providers of Medical Care: Issues and Applications
• Statistical profiling methods with hierarchical logistic regression for healthcare providers with binary outcomes
• Stein's Estimation Rule and Its Competitors--An Empirical Bayes Approach

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