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Activity Number: 115
Type: Topic Contributed
Date/Time: Monday, August 4, 2014 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistics in Epidemiology
Abstract #311763 View Presentation
Title: Instrumental Variable Approach for Mediation Analysis on Count and Zero-Inflated Count Data
Author(s): Zijian Guo*+ and Jing Cheng and Dylan Small and Stuart Gansky
Companies: Wharton School and University of California, San Francisco and University of Pennsylvania and University of California, San Francisco
Keywords: Estimating Equations ; Empirical Likelihood ; Instrumental Variable ; Count Outcome ; Zero-inflated Outcome
Abstract:

Most existing approaches for mediation analysis are developed for continuous or binary mediators and/or outcomes. However, count or zero-infated count data is common in many studies. In this study, we develop causal methods based on instrumental variable approaches for mediation analysis for those data without the assumption of sequential ignorability when confounders invalidate the assumption. We propose estimating equations and solve the equations directly or use empirical likelihood to estimate the mediation e ect consistently. Simulation studies show that our method works well. Our method is applied in a study of caries prevention to study the direct and mediation e ffects of intervention on count and zero-inflated count outcomes through oral health behaviors.


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