Zero-Inflated Censored Regression Models: An Application with Episode of Care Data

Zero-Inflated Censored Regression Models: An Application with Episode of Care Data

The objective of this project is to fit a sequence of increasingly complex zero-inflated censored regression models to a known data set. It is quite common to find censored count data in statistical analyses of health-related data. Modeling such data while ignoring the censoring, zero-inflation, and...

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Bibliographic Details
Main Author: Prasad, Jonathan P.
Format: Others
Published: BYU ScholarsArchive 2009
Subjects:
zero-inflation
over-dispersion
censoring
Poisson
generalized Poisson
negative binomial
Bayesian MCMC
Proc MCMC
health care
Statistics and Probability
Online Access:https://scholarsarchive.byu.edu/etd/2226
https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3225&context=etd

Internet

https://scholarsarchive.byu.edu/etd/2226
https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3225&context=etd

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