Document Type

Article

Publication Date

2026

Publication Title

Journal of Mathematics and Statistical Science

Volume

12

Issue

9

Pages

1-13

Abstract

Mortality, readmission, and length of stay (LOS) are commonly used measures for quality of hospital care. These measures are correlated with each other, so we propose a new way to combine these three variables to evaluate hospital care quality of care. In this paper, we investigate the joint probability distribution of these three variables using what we named as the Juncture Distribution Models and characteristics of the Juncture models.

Rights

© 2026 The Authors.

Published under the terms of a Creative Commons Attribution 4.0 International (CC BY 4.0) License.

Data Availability

Article states: "The data that support the findings of this study are available in Kaggle at https://www.kaggle.com/datasets/neenunair/hospital-dataset."

Original Publication Citation

Sheth, M., & Chaganty, N. R. (2026). Juncture models: Trivariate nonlinear regression models and application to in-hospital quality of care. Journal of Mathematics and Statistical Science, 12(9), 1-13. https://www.ss-pub.org/jmss/juncture-models-trivariate-nonlinear-regression-models-and-application-to-in-hospital-quality-of-care/ 

ORCID

0000-0003-2325-3513 (Chaganty)

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