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Activity Number: 163 - SPEED: Longitudinal/Correlated Data
Type: Contributed
Date/Time: Monday, July 30, 2018 : 10:30 AM to 12:20 PM
Sponsor: Health Policy Statistics Section
Abstract #330199 Presentation
Title: Horizontal and Vertical Effects in a Logistic Regression Model
Author(s): Diana Gonzalez*
Companies: Arizona State University
Keywords: spatial ; simultaneous autoregressive; longitudinal data

This paper provides joint methodology for modeling of two-level hierarchical effects (vertical) as well as spatial interaction (horizontal) effects in analyzing binary responses. The model makes use of the effects of multilevel random effects with spatial simultaneous autoregressive processes addresses. Several estimations of the weight matrix are examined. Health data is used to demonstrate the advantage of analyzing using joint modeling as oppose to separate models.

Authors who are presenting talks have a * after their name.

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