A joint model based on a latent class approach is proposed to explore the association between correlated longitudinal quantitative markers and a time-to-event. A longitudinal latent class model describes latent profiles of evolution of the latent process underlying the correlated markers. The latent process is linked to the markers by nonlinear transformations including parameters to be estimat...

A Parental Values scale, in which students ranked the top 5 of 10 items in terms of how important they perceived the items as being to their parents, was analyzed using a latent class ranking model. A model with three latent classes was considered adequate, based on the Bayesian information criterion and the interpretability of the results. The three classes were interpreted as consisting of st...

Background: This study aimed to examine the number of latent classes of criminal intent that exist among prisoners and to look at the associations with recidivism, number of police arrests, type of offending (robbery, violent offences, murder, and multiple offences), and age. Participants and Procedure: Latent class analysis was used to identify homogeneous subgroups of prisoners based on their...

Unlike traditional research on educational stratification that focuses on the pursuit of higher education, our study examines why young adults do not make the transition to college, using a nationally representative sample of college non-enrollees (N = 2640). In applying latent class analysis techniques, we identified multiple types of students who do not pursue college. One group of non-enroll...

Appropriate modeling of web use patterns may yield very relevant marketing and retailing information. We propose using a modelbased clustering approach for market segmentation based on website users’ search patterns. We not only provide a detailed discussion of technical issues such as the problem of the selection of the number of segments, but also a very interesting empirical illustration of ...

This article examines the effects of clustering in latent class analysis. A comprehensive simulation study is conducted, which begins by specifying a true multilevel latent class model with varying withinand between-cluster sample sizes, varying latent class proportions, and varying intraclass correlations. These models are then estimated under the assumption of a single-level latent class mode...

Latent Class Analysis (LCA) is a statistical method used to identify subtypes of related cases using a set of categorical and/or continuous observed variables. Traditional LCA assumes that observations are independent. However, multilevel data structures are common in social and behavioral research and alternative strategies are needed. In this paper, a new methodology, multilevel latent class ...

The recent rise of neogeography and citizen sensing has increased the opportunities for the use of crowdsourcing as a means to acquire data to support geographical research. The value of the resulting volunteered geographic information is, however, often limited by concerns associated with its quality and the degree to which the contributing data sources may be trusted. Here, information on the...

Sturmfels offered 100 Swiss Francs in 2005 to a conjecture, which deals with a special case of the maximum likelihood estimation for a latent class model. This paper confirms the conjecture positively. Mathematics Subject Classification (2000). Primary 65H10; Secondary 62P10, 62F30.