A SAS Procedure Based on Mixture Models for Estimating Developmental Trajectories

Sociological Methods and Research - Tập 29 Số 3 - Trang 374-393 - 2001
Bobby Jones1, Daniel S. Nagin1, Kathryn Roeder1
1Carnegie Mellon University

Tóm tắt

This article introduces a new SAS procedure written by the authors that analyzes longitudinal data (developmental trajectories) by fitting a mixture model. The TRAJ procedure fits semiparametric (discrete) mixtures of censored normal, Poisson, zero-inflated Poisson, and Bernoulli distributions to longitudinal data. Applications to psychometric scale data, offense counts, and a dichotomous prevalence measure in violence research are illustrated. In addition, the use of the Bayesian information criterion to address the problem of model selection, including the estimation of the number of components in the mixture, is demonstrated.

Từ khóa


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Thông tin xuất bản

Sociological Methods and Research

Tập 29 Số 3

374-393

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