|Save page Remove page||Previous||1 of 176||Next|
small (250x250 max)
medium (500x500 max)
large ( > 500x500)
Evaluating the Associations between the Baseline and Other Exposure Variables with the Longitudinal Trajectory When Responses are Measured with Error by Zhanghua Chen A Dissertation Presented to the FACULTY OF THE USC GRADUATE SCHOOL UNIVERSITY OF SOUTHERN CALIFORNIA In Partial Fulfillment of the Requirements for the Degree DOCTOR OF PHILOSOPHY (Biostatistics) December 2013 Copyright 2013 Zhanghua Chen
|Title||Evaluating the associations between the baseline and other exposure variables with the longitudinal trajectory when responses are measured with error|
|Degree||Doctor of Philosophy|
|School||Keck School of Medicine|
|Advisor (committee chair)||Watanabe, Richard M.|
|Advisor (committee member)||
Xiang, Anny H.
Stram, Daniel O.
Mack, Wendy J.
Buchanan, Thomas A.
|Abstract||Evaluating the associations between the baseline value and other exposure variables with the longitudinal trajectory constantly occurs in the medical research. Traditional analyses using the observed measurements can produce biased estimates of the true relationships when responses are measured with error. Bias-correction formulas are developed using the linear regression for studies with a baseline and one follow-up visit. When the data has multiple follow-up visits, random intercept and random slope mixed effects models are always used. However, current bias-correction methods developed from aforementioned mixed effects model have their limitations. Motivated by a real data example, we developed a new method to correct the bias in association estimates using the mixed effects model. The validity of formulas was evaluated by the simulation study. Two methods were proposed to test the bias-corrected estimates. Finally, two real study examples were provided to demonstrate the application of our methods.|
|Keyword||baseline adjustment; baseline prediction; longitudinal analysis; measurement error; mixed effects model; regression to the mean|
|Part of collection||University of Southern California dissertations and theses|
|Publisher (of the original version)||University of Southern California|
|Place of publication (of the original version)||Los Angeles, California|
|Publisher (of the digital version)||University of Southern California. Libraries|
|Provenance||Electronically uploaded by the author|
|Legacy record ID||usctheses-m|
|Contributing entity||University of Southern California|
|Access conditions||The author retains rights to his/her dissertation, thesis or other graduate work according to U.S. copyright law. Electronic access is being provided by the USC Libraries in agreement with the author, as the original true and official version of the work, but does not grant the reader permission to use the work if the desired use is covered by copyright. It is the author, as rights holder, who must provide use permission if such use is covered by copyright. The original signature page accompanying the original submission of the work to the USC Libraries is retained by the USC Libraries and a copy of it may be obtained by authorized requesters contacting the repository e-mail address given.|
|Repository name||University of Southern California Digital Library|
|Repository address||USC Digital Library, University of Southern California, University Park Campus MC 7002, 106 University Village, Los Angeles, California 90089-7002, USA|
|Full text||Evaluating the Associations between the Baseline and Other Exposure Variables with the Longitudinal Trajectory When Responses are Measured with Error by Zhanghua Chen A Dissertation Presented to the FACULTY OF THE USC GRADUATE SCHOOL UNIVERSITY OF SOUTHERN CALIFORNIA In Partial Fulfillment of the Requirements for the Degree DOCTOR OF PHILOSOPHY (Biostatistics) December 2013 Copyright 2013 Zhanghua Chen|