A SAS Procedure Based on Mixture Models for Estimating Developmental Trajectories

By B. Jones, Dan Nagin, Kathryn Roeder. 2001

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View Paper: https://www.semanticscholar.org/paper/040a3093ce140bbad9d89c227bbf7efd1bbbd64a

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Citations in the corpus

The Dynamics of Economic Disadvantage and Children's Life Chances (2006, methodology): “More information on the estimation of these models may be found in Jones et al. (2001), McLachlan and Peel (2000), Muthén (2001a, 2002, 2004), and Nagin (1999).”
Distributional assumptions of growth mixture models: implications for overextraction of latent trajectory classes. (2003, methodology): “These include the PROC TRAJ macro for SAS (Jones et al., 2001), the MMLCR library for Splus (White et al.”
Causal inferences with group based trajectory models (2005, methodology): “The parameters of this model are estimated by a direct maximum likelihood procedure available in SAS ( Jones, Nagin, and Roeder, 2001 ).”
Methodological Sensitivities to Latent Class Analysis of Long-Term Criminal Trajectories (2004, methodology): “Before we address these methodological considerations, we turn to a brief description of the semiparametric group-based approach as outlined in Nagin (1999) (see also Jones et al., 2001; Nagin and Land, 1993; Nagin and Tremblay, 2001, for more details on this approach).”
Exploring Some Analytical Characteristics of Finite Mixture Models (2006, background): “It is described in Jones et al. (2001) and Jones and Nagin (2005) and in documentation available at http://www.ncovr.org.”
Autonomous, Controlled, and Amotivated Types of Academic Motivation: A Person-Oriented Analysis (2007, methodology): “Academic motivational profiles were modeled using scores of each motivation subscale of the AMS (IM, identified regulation, introjected regulation, external regulation, and AM) and estimated using the SAS TRAJ procedure ( Jones, Nagin, & Roeder, 2001 ).”
Local solutions in the estimation of growth mixture models. (2006, methodology): “The PROC TRAJ SAS macro, developed by Nagin and colleagues ( Jones, Nagin, & Roeder, 2000 ), uses a quasi-Newton algorithm and currently has no provision for automatically varying start values, though one can manually input start values.”
Trajectories of Anxiety During Elementary-school Years and the Prediction of High School Noncompletion (2008, methodology): “Semiparametric mixture models for anxiety were estimated using the SAS ‘‘TRAJ’’ procedure ( Jones et al. 2001 ).”
The Development of Physical Aggression from Toddlerhood to Pre-Adolescence: A Nation Wide Longitudinal Study of Canadian Children (2006, methodology): “Toward this end, a semi-parametric group-based approach ( Jones, Nagin, & Roeder, 2001; Nagin, 1999, 2005) was used to examine the development of PA over time.”
Advances in Group-Based Trajectory Modeling and an SAS Procedure for Estimating Them (2007, methodology): “The purpose of this article was to describe extensions of a SAS-based procedure for estimating group-based trajectory models that have been developed since the appearance of Jones et al. (2001).”
Risk Factor Models for Adolescent Verbal and Physical Aggression Toward Fathers (2009, methodology): “Using a group-based semi-parametric mixture model of trajectory estimation (Boulerice 2001; Broidy et al. 2003; Jones et al. 2001; Nagin 1999) to identify subjects with distinct patterns of behavior during childhood, Nagin and Tremblay (1999) established four gender-specific developmental courses ”
Estimation of extended mixed models using latent classes and latent processes: the R package lcmm (2015, methodology): “It should be stressed that the latent class growth analysis as implemented in SAS with proc TRAJ (Jones, Nagin, and Roeder 2001) is a specific case of latent class mixed models in which no random-effect is included.”