Group-based Trajectory Modeling Extended to Account for Nonrandom Participant Attrition

Haviland, A., Jones, B., & Nagin, D. (2011). Group-based Trajectory Modeling Extended to Account for Nonrandom Participant Attrition Sociological Methods & Research, 40 (2), 367-390 DOI: 10.1177/0049124111400041 

Abstract 

Daniel S. Nagin, Carnegie Mellon University, Pittsburgh, PA, USA, dn03@andrew.cmu.edu

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Direct and Indirect Effects for Neighborhood-Based Clustered and Longitudinal Data

Tyler J. VanderWeele, Direct and Indirect Effects for Neighborhood-Based Clustered and Longitudinal Data, Sociological Methods & Research 2010 38: 515-544.

 

Definitions of direct and indirect effects are given for settings in which individuals are clustered in groups or neighborhoods and in which treatments are administered at the group level. A particular intervention may