A Bayesian multilevel time‐varying framework for joint modeling of hospitalization and survival in patients on dialysis-Reference-Cited by-同舟云学术

A Bayesian multilevel time‐varying framework for joint modeling of hospitalization and survival in patients on dialysis

Published:2022-10 Issue:29 Volume:41 Page:5597-5611
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Kürüm Esra¹^ORCID,Nguyen Danh V.²^ORCID,Banerjee Sudipto³,Li Yihao³,Rhee Connie M.²⁴,Şentürk Damla³^ORCID

Affiliation:

1. Department of Statistics University of California, Riverside Riverside California USA

2. Department of Medicine University of California, Irvine Irvine California USA

3. Department of Biostatistics University of California, Los Angeles Los Angeles California USA

4. Harold Simmons Center for Chronic Disease Research and Epidemiology University of California, Irvine School of Medicine Irvine California USA

Funder

National Institute of Diabetes and Digestive and Kidney Diseases

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.9582

Reference37 articles.

1. United States Renal Data System.USRDS2021 annual data report: epidemiology of kidney disease in the United States. Technical report Bethesda MD: National Institutes of Health National Institute of Diabetes and Digestive and Kidney Diseases;2021.

2. Association of US Dialysis Facility Staffing with Profiling of Hospital-Wide 30-Day Unplanned Readmission

3. A multilevel mixed effects varying coefficient model with multilevel predictors and random effects for modeling hospitalization risk in patients on dialysis

4. Modeling time-varying effects of multilevel risk factors of hospitalizations in patients on dialysis

5. Time-varying effect modeling with longitudinal data truncated by death: conditional models, interpretations, and inference

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