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Bayesian inference on dynamics of individual and population hepatotoxicity via state space models

Li, Qianqiu
http://rave.ohiolink.edu/etdc/view?acc_num=osu1124297874

Abstract Details

2005, Doctor of Philosophy, Ohio State University, Statistics.
Hepatotoxicity (liver damage) is a common problem in drug treatment trials but is observed only indirectly through biomarkers measured in the blood. This creates the need to infer an individual's unobserved liver function dynamically using blood tests and other patient baseline characteristics. Major statistical challenges include high dimensionality, irregular time observation points over patients, presence of missing observations, and noise involved in measurement and biological processes. This dissertation introduces a class of multivariate Bayesian dynamic stochastic models, for detecting and forecasting changes in an individual's liver function in two situations: without and with drug. These models separate measurement error from variation inherent in a biological process, and attempt to describe the underlying process of liver detoxication, whereby, drug aects liver function which in turn induces changes in observed analytes. A clinical toxicity study is examined, together with simulated data. The results suggest that changes in observed analytes can be captured by the proposed models.
Dennis Pearl (Advisor)
Statistics
Hepatotoxicity; Mean Reversion; State Space; Stochastic Inference; Drug Concentration; Markov Chain Monte Carlo; Empirical Bayesian

Recommended Citations

Citations

  • Li, Q. (2005). Bayesian inference on dynamics of individual and population hepatotoxicity via state space models [Doctoral dissertation, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1124297874

    APA Style (7th edition)

  • Li, Qianqiu. Bayesian inference on dynamics of individual and population hepatotoxicity via state space models. 2005. Ohio State University, Doctoral dissertation. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1124297874.

    MLA Style (8th edition)

  • Li, Qianqiu. "Bayesian inference on dynamics of individual and population hepatotoxicity via state space models." Doctoral dissertation, Ohio State University, 2005. http://rave.ohiolink.edu/etdc/view?acc_num=osu1124297874

    Chicago Manual of Style (17th edition)

osu1124297874
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© 2005, all rights reserved.
This open access ETD is published by The Ohio State University and OhioLINK.