We examine the impact of missing data in two settings, the development of prognostic models and the addition of new risk factors to existing risk functions. Most statistical software presently available perform complete case analysis, wherein only participants with known values for all of the characteristics being analyzed are included in model development. Missing data also impacts the summarization of evidence amongst multiple studies using meta-analytic techniques. As we progress in medical research, new covariates become available for studying various outcomes. While we want to investigate the influence of new factors on the outcome, we also do not want to discard the historical datasets that do not have information about these markers. Our research plan is to investigate different methods to estimate parameters for a model when some of the covariates are missing. These methods include likelihood based inference for the study-level coefficients and likelihood based inference for the logistic model on the person-level data. We compare the results from our methods to the corresponding results from complete case analysis. We focus our empirical investigation on a historical example, the addition of high density lipoproteins to existing equations for predicting death due to coronary heart disease. We verify our methods through simulation studies on this example. / A Dissertation Submitted to the Department of Statistics in Partial FulfiLlment of the Requirements for the Degree of Doctor of Philosophy. / Fall Semester, 2005. / September 9, 2005. / Coronary Heart Disease, Stratified Model, Summary Coefficients, Maximum Likelihood Estimation, Logistic Model, Missing Data / Includes bibliographical references. / Daniel McGee, Sr., Professor Directing Dissertation; Isaac Eberstein, Outside Committee Member; Myles Hollander, Committee Member; Xufeng Niu, Committee Member; Somesh Chattopadhyay, Committee Member.
| Identifer | oai:union.ndltd.org:fsu.edu/oai:fsu.digital.flvc.org:fsu_180422 |
| Contributors | Munshi, Mahtab R. (authoraut), McGee, Daniel (professor directing dissertation), Eberstein, Isaac (outside committee member), Hollander, Myles (committee member), Niu, Xufeng (committee member), Chattopadhyay, Somesh (committee member), Department of Statistics (degree granting department), Florida State University (degree granting institution) |
| Publisher | Florida State University, Florida State University |
| Source Sets | Florida State University |
| Language | English, English |
| Detected Language | English |
| Type | Text, text |
| Format | 1 online resource, computer, application/pdf |
| Rights | This Item is protected by copyright and/or related rights. You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s). The copyright in theses and dissertations completed at Florida State University is held by the students who author them. |
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