Author ORCID Identifier
Date Available
4-23-2022
Year of Publication
2022
Degree Name
Doctor of Philosophy (PhD)
Document Type
Doctoral Dissertation
College
Public Health
Department/School/Program
Epidemiology and Biostatistics
First Advisor
Dr. Richard J. Charnigo
Abstract
Over the past decade acute kidney injury (AKI) has been occurring among 20%-50% of patients admitted to the intensive care unit (ICU) in United States. Continuous renal replacement therapy (CRRT) has become a popular treatment method among these critically ill patients. But there are multiple complications in implementing this treatment, including discrepancies in practiced and prescribed fluid removal, possibly related to the heterogeneity among these patients. With mixture modeling there have been several techniques in detecting heterogeneity with their specific limitations. In this dissertation a novel nonparametric ‘d test’ will be used to detect heterogeneity among CRRT patients in ICU. Along with heterogeneity detection, this dissertation will also seek to understand ongoing issues with fluid removal and discrepancy in treatment implementations.
Digital Object Identifier (DOI)
https://doi.org/10.13023/etd.2022.051
Recommended Citation
Kabir, Shaowli, "A Novel Nonparametric Test for Heterogeneity Detection and Assessment of Fluid Removal Among CRRT Patients in ICU" (2022). Theses and Dissertations--Epidemiology and Biostatistics. 35.
https://uknowledge.uky.edu/epb_etds/35
