Type of Document	Dissertation
Author	Dutton, Matthew Thomas
Author's Email Address	mtd02c@fsu.edu
URN	etd-01282011-161953
Title	Individual Patient-Level Data Meta-Analysis: A Comparison of Methods For The Diverse Populations Collaboration Data Set
Degree	Doctor of Philosophy
Department	Statistics, Department of
Advisory Committee	Advisor Name Title Daniel McGee Committee Chair Jinfeng Zhang Committee Member Xufeng Niu Committee Member Betsy Becker University Representative
Keywords	Individual Patient-level Data IPD meta-analysis Meta-analysis
Date of Defense	2010-12-02
Availability	unrestricted
Abstract DerSimonian and Laird dene meta-analysis as he statistical analysis of a collection of analytic results for the purpose of integrating their ndings. One alternative to classical meta-analytic approaches in known as Individual Patient-Level Data, or IPD, meta-analysis. Rather than depending on summary statistics calculated for individual studies, IPD meta- analysis analyzes the complete data from all included studies. Two potential approaches to incorporating IPD data into the meta-analytic framework are investigated. A two-stage analysis is rst conducted, in which individual models are t for each study and summarized using classical meta-analysis procedures. Secondly, a one-stage approach that singularly models the data and summarizes the information across studies is investigated. Data from the Diverse Populations Collaboration data set are used to investigate the differences between these two methods in a specifc example. The bootstrap procedure is used to determine if the two methods produce statistically different results in the DPC example. Finally, a simulation study is conducted to investigate the accuracy of each method in given scenarios.
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