Variance-mean relationships to analyze large survey data with application to health expenditure data
Date of Award
1-1-2009
Language
English
Document Type
Dissertation
Degree Name
Doctor of Philosophy (PhD)
College/School/Department
Department of Epidemiology and Biostatistics
Program
Biostatistics
Content Description
1 online resource (xi, 166 pages) : illustrations (some color)
Dissertation/Thesis Chair
Howard Stratton
Committee Members
Andrew A Reilly, Diane M Dewar
Keywords
Bayes method, Generalized Linear Models, health economic, Large Survey Data, simulation, Variance - Mean Relationships, Analysis of variance, Analysis of means, Medical care, Cost of, Medical care surveys, Analysis of Variance, Health Care Costs
Subject Categories
Biostatistics
Abstract
A great deal of work has been done in cost analysis in the last several decades. However, relatively little has been done to learn how efficiently to address the relationship between the variance and mean of the response distribution and how this will affect the choice of an appropriate generalized linear model.
Recommended Citation
Luo, Wenli, "Variance-mean relationships to analyze large survey data with application to health expenditure data" (2009). Legacy Theses & Dissertations (2009 - 2024). 76.
https://scholarsarchive.library.albany.edu/legacy-etd/76