McAnulty College and Graduate School of Liberal Arts
John C. Kern
Bayesian Analysis, Bayesian Hierarchical Modeling, Markov Chain, MCMC, Monte Carlo
This thesis explores a Bayesian hierarchical model to compare treatment effectiveness for menopausal symptom relief. Specifically, this model recognizes the discrete nature of the data, as well as its time dependency. Bayesian analysis is used to make inference on each individual profile, as well as on a group profile for each treatment group.
Bernini, N. (2006). Bayesian Analysis of Discrete Longitudinal Data (Master's thesis, Duquesne University). Retrieved from https://dsc.duq.edu/etd/19