A SAS procedure based on mixture models for estimating developmental trejectories  

Oleh:

Nagin, Daniel S. ; Roeder, Kathryn ; Jones, Bobby L.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: Sociological Methods & Research (SMR) vol. 29 no. 03 (Feb. 2001), page 374-393.
Topik: SAS procedure; Longitudinal data
Fulltext: Nagin, Daniel S. ; Roeder, Kathryn ; Jones, Bobby L..pdf (1.41MB)

Ketersediaan

Perpustakaan PKPM Nomor Panggil: S28 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

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 iIlustrated. 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.

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