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Cited by 2,370

The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.

A SAS Procedure Based on Mixture Models for Estimating Developmental Trajectories

JONES, BOBBY L., NAGIN, DANIEL S., ROEDER, KATHRYN·2001·Sociological Methods & Research
DOI 10.1177/0049124101029003005
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Abstract

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.

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Research works printed but not linked: 7

  1. 10.1037/0033-2909.101.1.147 · doi:10.1037/0033-2909.101.1.147 · Paper page
  2. Bryk, Anthony S., Hierarchical Linear Models for Social and Behavioral Research: Application and Data Analysis Methods
  3. 10.1007/BF00932218 · doi:10.1007/bf00932218
  4. Farrington, David P., Criminality: Personality, Behavior, and Life History
  5. Jeffreys, Harold, Theory of Probability
  6. Keribin, Christine, “Consistent Estimation of the Order of Mixture Models.”
  7. 10.1037/0033-2909.116.2.363 · doi:10.1037/0033-2909.116.2.363 · Paper page

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Metadata

Authors
JONES, B. L., NAGIN, D. S., & ROEDER, K.
Venue
Sociological Methods & Research
Publisher
SAGE Publications
Published
2001-02
Volume
29
Issue
3
Pages
374-393
ISSN
  • 0049-1241 (ISSN-L)
  • 1552-8294
DOI
10.1177/0049124101029003005
OpenAlex
W2013071495
Cited by
2,370
References
40
FWCI
25.16
Type
journal article
Language
en
Open access
closed
Licence
journals.sagepub.com/page/policies/text-and-data-mining-license (tdm)

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CoChat. (2026). Citation check: A SAS Procedure Based on Mixture Models for Estimating Developmental Trajectories. https://app.cochat.ai/papers/10.1177/0049124101029003005
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JONES, B. L., NAGIN, D. S., & ROEDER, K. (2001). A SAS Procedure Based on Mixture Models for Estimating Developmental Trajectories. Sociological Methods & Research. https://doi.org/10.1177/0049124101029003005

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.