{"id":{"repo_id":"utc","oai_identifier":"oai:scholar.utc.edu:theses-1765"},"canonical_url":"https://search.dev.ndltd.org/etd/utc/oai:scholar.utc.edu:theses-1765","repository":{"repo_id":"utc","name":"University of Tennessee - Chattanooga","base_url":"https://scholar.utc.edu/do/oai/"},"display":{"title":"Modeling zero-inflated and overdispersed count data: application to in-hospital mortality data","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.","abstract_html":"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.","abstract_has_math":false,"creators":["Nanni, Lisa"],"institution":"University of Tennessee at Chattanooga","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":["Gao, Cuilan","Wang, Jin; Gunasekera, Sumith; Nichols, Roger","College of Arts and Sciences"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":null,"date_issued":"","date_published":null,"updated_at":"2026-07-24T05:46:59Z","subjects":["Inflation (Finance) -- Mathematical models","Medical statistics"],"languages":["English","eng"],"rights":[],"rights_urls":["https://rightsstatements.org/page/InC/1.0/?language=en"],"identifier_entries":[]},"links":{"outbound_url":"https://scholar.utc.edu/theses/615","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Gao, Cuilan","Wang, Jin; Gunasekera, Sumith; Nichols, Roger","College of Arts and Sciences"]},{"key":"dc:creator","label":"Author","values":["Nanni, Lisa"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2019-08-01T07:00:00Z"]},{"key":"dc:publisher","label":"Institution","values":["University of Tennessee at Chattanooga","Chattanooga (Tenn.)"]},{"key":"dc:relation","label":"Dc Relation","values":["Masters Theses and Doctoral Dissertations"]},{"key":"dc:type","label":"Dc Type","values":["Masters theses","Text"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Inflation (Finance) -- Mathematical models","Medical statistics"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["English","eng"]},{"key":"dc:rights","label":"Dc Rights","values":["https://rightsstatements.org/page/InC/1.0/?language=en"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://scholar.utc.edu/theses/615"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Dept. of Mathematics","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."]},{"key":"dc:description.abstract","label":"Abstract","values":["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."]},{"key":"dc:title","label":"Title","values":["Modeling zero-inflated and overdispersed count data: application to in-hospital mortality data"]}]}],"canonical_facts":{"dc:contributor":["Gao, Cuilan","Wang, Jin; Gunasekera, Sumith; Nichols, Roger","College of Arts and Sciences"],"dc:creator":["Nanni, Lisa"],"dc:date":["2019-08-01T07:00:00Z"],"dc:description":["Dept. of Mathematics","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."],"dc:description.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."],"dc:identifier":["https://scholar.utc.edu/theses/615"],"dc:language":["English","eng"],"dc:publisher":["University of Tennessee at Chattanooga","Chattanooga (Tenn.)"],"dc:relation":["Masters Theses and Doctoral Dissertations"],"dc:rights":["https://rightsstatements.org/page/InC/1.0/?language=en"],"dc:subject":["Inflation (Finance) -- Mathematical models","Medical statistics"],"dc:title":["Modeling zero-inflated and overdispersed count data: application to in-hospital mortality data"],"dc:type":["Masters theses","Text"]},"updated_at":"2026-07-24T05:46:59Z"}