Evaluating Risk-Adjusted Hospital Performance Using Large-Scale Data on Mortality Rates of Patients in Intensive Care Units: A Flexible Semi-Nonparametric Modeling Approach-Reference-Cited by-同舟云学术

Evaluating Risk-Adjusted Hospital Performance Using Large-Scale Data on Mortality Rates of Patients in Intensive Care Units: A Flexible Semi-Nonparametric Modeling Approach

Published:2023 Issue: Volume:11 Page:232-246
ISSN:2168-2372
Container-title:IEEE Journal of Translational Engineering in Health and Medicine
language:
Short-container-title:IEEE J. Transl. Eng. Health Med.

Author:

Liang Yakun¹^ORCID,Jiang Xuejun¹^ORCID,Zhang Bo²

Affiliation:

1. Department of Statistics and Data Science, Southern University of Science and Technology, Shenzhen, China

2. Department of Neurology and ICCTR Biostatistics and Research Design Center, Boston Children’s Hospital, Harvard Medical School, Boston, MA, USA

Funder

NSF Grant of Guangdong Province of China

Shenzhen Sci-Tech Fund

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Biomedical Engineering,General Medicine

Link

http://xplorestaging.ieee.org/ielx7/6221039/9961067/10068535.pdf?arnumber=10068535

Reference30 articles.

1. The impact of a misspecified random-effects distribution on the estimation and the performance of inferential procedures in generalized linear mixed models

2. The limited utility of ranking hospitals based on their colon surgery infection rates;caroff;Clin Infectious Dis,2021

3. A consistent estimator for logistic mixed effect models

4. Robustness of linear mixed‐effects models to violations of distributional assumptions

5. Estimation and testing for time-varying quantile single-index models with longitudinal data

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