JSM 2005 Online Program

Abstract #303353

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

To View the Program:
You may choose to view all activities of the program or just parts of it at any one time. All activities are arranged by date and time.

The views expressed here are those of the individual authors
and not necessarily those of the ASA or its board, officers, or staff.

The Program has labeled the meeting rooms with "letters" preceding the name of the room, designating in which facility the room is located:

Minneapolis Convention Center = “MCC” Hilton Minneapolis Hotel = “H” Hyatt Regency Minneapolis = “HY”

Back to main JSM 2005 Program page

Legend:

= Applied Session,

= Theme Session,

= Presenter

Activity Number:	99
Type:	Contributed
Date/Time:	Monday, August 8, 2005 : 8:30 AM to 10:20 AM
Sponsor:	Biometrics Section
Abstract - #303353
Title:	A Markov Model for Repeated Sexually Transmitted Infections
Author(s):	Wanzhu Tu*+
Companies:	Indiana University School of Medicine
Address:	RG4101 1050 Wishard Boulevard, Indianapolis, IN, 46202, United States
Keywords:	Markov model ; transmission probability ; linear model ; likelihood method
Abstract:	The primary focus of this research is to quantify the per exposure risk of sexually transmitted infection (STI). Toward this end, a cohort of young women were followed for seven months. Infection status was determined at each of the monthly followup visits. To estimate the per-exposure transmission risk, I propose a Markov model that takes into account the repeated STI tests and the behavior that might lead to the acquisition of a new infection. This model has a recursive structure that accommodates the effect of condom protection, the delivery of antibiotic treatment, and the probability of treatment failure. Other risk factors are incorporated via a linear model embedded in the Markov structure. Because of the recursive structure of the likelihood function, a new estimation procedure is developed to facilitate the model fitting. The proposed method is used to analyze three commonly seen bacterial STIs. Transmission risks of Chlamydia trachomatis, Trachomonas vaginalis, and Neisseria gonorrhea are established. A simulation study is used to assess operating characteristics of the proposed model.

The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.

Back to the full JSM 2005 program