American Statistical Association
New York City
Metropolitan Area Chapter

New York State Psychiatric Institute
and Columbia University
Seminar for Biostatistics in Psychiatry



HIDDEN MARKOV MODELS FOR ZERO-INFLATED
POISSON COUNTS - APPLICATIONS IN SUBSTANCE USE

by

Stacia DeSantis, Ph.D.
Division of Biostatistics & Epidemiology
Department of Medicine
Medical University of South Carolina


Abstract

Hidden Markov models (HMM) are useful for modeling longitudinal self-reports of drug or alcohol use as a function of treatments and time dependent variables. We develop a HMM for zero inflated Poisson counts in order to assess the impact of time dependent interventions on transitioning among substance use and drinking states derived from a zero-inflated measure. The model is fit under a Bayesian paradigm and the conditional predictive ordinate is used for model selection. We reanalyze a small study of cocaine dependent participants and The Combined Pharmacotherapies and Behavioral Interventions for Alcohol Dependence (COMBINE) trial.

Biographical Note

Stacia DeSantis is an Assistant Professor in the Division of Biostatistics and Epidemiology in the Department of Medicine at the Medical University of South Carolina. Her research interests include statistical methods in Psychiatry and Neuroscience and Bayesian biostatistics.


Date: Tuesday, April 10, 2012
Time: 3:30 - 4:30 P.M.
Location: New York State Psychiatric Institute
1051 Riverside Drive
6th Floor Multipurpose Room (6602)
New York, New York
(Directions)

RESERVATIONS ARE NOT REQUIRED

Coffee: 3:00 to 3:30 P.M.
Informal Reception: 4:30 to 5:00 P.M.


Home Page | Chapter News | Chapter Officers | Chapter Events
Other Metro Area Events | ASA National Home Page | Links To Other Websites
NYC ASA Chapter Constitution | NYC ASA Chapter By-Laws

Page last modified on April 3, 2012

Copyright © 1998-2012 by New York City Metropolitan Area Chapter of the ASA
Designed and maintained by Cynthia Scherer
Send questions or comments to nycasa@mindspring.com