Pedro Nascimento de Lima, PhD

Researcher at RAND Corporation and Professor at RAND School of Public Policy

optic: Simulation Tool for Causal Inference Using Longitudinal Data

Pedro Nascimento de Lima Beth Ann Griffin

Abstract

This tool, an R package, helps users compare the performance of various causal inference models using their own longitudinal data. Users can select from a variety of simulation options to explore how different state policy evaluation methods perform. Although the tool was initially created to examine data related to opioids, its framework can be used with longitudinal data on any topic.

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