Dissertation
Finite growth mixture modeling of biomarkers for chronic kidney disease and their impact on a two-part (semicontinuous) growth model of coronary artery calcification: the Spokane heart study
Washington State University
Doctor of Philosophy (PhD), Washington State University
05/2010
DOI:
https://doi.org/10.7273/000006112
Abstract
Two studies make use of advanced statistical modeling techniques to analyze biomarkers for chronic kidney disease (CKD) in order to predict the onset and progression of coronary artery calcium (CAC) in conjunction with traditional risk factors for coronary heart disease (CHD) and the Perceived Stress Scale (PSS). While this is largely an exploratory approach, the final goal is to better model CAC and its predictors in order to refine current algorithms for predicting CHD and heart events. Study 1 investigates the population heterogeneity in growth trajectories of serum phosphorus (SP) in search of homogenous latent classes that represent statistically distinct patterns of change over time. These different latent classes may represent different levels of risk (low, normative, elevated, highly elevated) for development of CKD that can lead to varying levels/time of onset for CAC that would in turn put the patient at greater risk for a heart event (e.g., myocardial infarction, sudden cardiac death, etc.). In Study 2, I utilize these identified latent class memberships to predict both the onset and growth of CAC over time using a form of growth modeling known as two-part, or semicontinuous, latent growth curve modeling. I also use age, gender, the Perceived Stress Scale, and other traditional risk factors to simultaneously predict probability of onset of CAC and growth of CAC over time.
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Details
- Title
- Finite growth mixture modeling of biomarkers for chronic kidney disease and their impact on a two-part (semicontinuous) growth model of coronary artery calcification
- Creators
- Sterling M. McPherson
- Contributors
- Craig D. Parks (Chair)G Leonard Burns (Committee Member) - Washington State University, Department of PsychologyDENNIS G. DYCK (Committee Member)Robert A. Short (Committee Member)Martha L Cottam (Committee Member) - Washington State University, Politics, Philosophy and Public Affairs, School of
- Awarding Institution
- Washington State University
- Academic Unit
- Department of Psychology
- Theses and Dissertations
- Doctor of Philosophy (PhD), Washington State University
- Publisher
- Washington State University
- Number of pages
- 156
- Identifiers
- 99901055022701842
- Language
- English
- Resource Type
- Dissertation