Abstract #300925

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JSM 2003 Abstract #300925
Activity Number: 133
Type: Contributed
Date/Time: Monday, August 4, 2003 : 12:00 PM to 1:50 PM
Sponsor: Biometrics Section
Abstract - #300925
Title: Applying the Two-Part Regression Models in Epidemiological Research
Author(s): Leann Myers*+
Companies: Tulane University
Address: 260 Metairie Heights Ave., Metairie, LA, 70001-3037,
Keywords: regression models ; two-part models ; epidemiology
Abstract:

Data about health care utilization and expenditures are often characterized by some percentage of the subjects' no response, and by positive skew among those individuals who do respond. For example, annual number of physician visits can be described by such a distribution with many people not seeing a doctor at all while others may see the physician many times during a year. A two-part regression model is a common tool for analyzing this type of econometric data. In part 1, the model predicts who responds. In part 2, the responding subset is used to predict how much response. The two parts are then combined in a single prediction model. Many epidemiological data fit the same profile. For example, how much physical activity does a child get a day? Some kids don't get any physical activity, and others report many hours. Do boys get as much as girls? The number of responders may differ as well as the level of response, so a simple of test of beta = 0 may not be appropriate. The current study applies the two-part model to data where both responders and nonresponders are sampled, and investigates hypothesis testing as well as prediction in the two-part model framework.

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