Committee Chair
Gao, Cuilan
Committee Member
Wang, Jin; Gunasekera, Sumith; Nichols, Roger
College
College of Arts and Sciences
Publisher
University of Tennessee at Chattanooga
Place of Publication
Chattanooga (Tenn.)
Abstract
Hyperchloremia (high serum chloride level) is frequently observed in critically ill patients in the intensive care unit (ICU). Clinical evidence shows that hyperchloremia is associated with increased in-hospital mortality. Length of hospital stay (LOS) is often used as an indicator of hospital efficiency, a proxy of resource consumption and is especially important in organizing hospital services. Such data often have a highly right-skewed distribution for non-zero values and possible excess zero counts. Our study aims to examine the association of serum chloride levels at different time points with hospital mortality and to model the length of hospital and ICU stays in conjunction with zero-inflated and overdispersed count data. This research will consider the use of several univariate and multivariate models to evaluate the effects of serum chloride as it pertains to patient mortality. This research resulted from application to more than 1700 critically ill patients from a local hospital.
Degree
M. S.; A thesis submitted to the faculty of the University of Tennessee at Chattanooga in partial fulfillment of the requirements of the degree of Master of Science.
Date
8-2019
Subject
Inflation (Finance) -- Mathematical models; Medical statistics
Document Type
Masters theses
DCMI Type
Text
Extent
xi, 28 leaves
Language
English
Rights
https://rightsstatements.org/page/InC/1.0/?language=en
License
http://creativecommons.org/licenses/by/4.0/
Recommended Citation
Nanni, Lisa, "Modeling zero-inflated and overdispersed count data: application to in-hospital mortality data" (2019). Masters Theses and Doctoral Dissertations.
https://scholar.utc.edu/theses/615
Department
Dept. of Mathematics