Results 271 to 280 of about 5,459,614 (334)
Some of the next articles are maybe not open access.
Journal of Classification, 1997
A probabilistic DEDICOM model is proposed for mobility tables. The model attempts to explain observed transition probabilities by a latent mobility table and a set of transition probabilities from latent classes to observed classes. The model captures asymmetry in observed mobility tables by asymmetric latent mobility tables.
Takane, Yoshio, Kiers, Henk A.L.
openaire +3 more sources
A probabilistic DEDICOM model is proposed for mobility tables. The model attempts to explain observed transition probabilities by a latent mobility table and a set of transition probabilities from latent classes to observed classes. The model captures asymmetry in observed mobility tables by asymmetric latent mobility tables.
Takane, Yoshio, Kiers, Henk A.L.
openaire +3 more sources
Latent Class Analysis for Repeatedly Measured Multiple Latent Class Variables
Multivariate Behavioral Research, 2020Research on stage-sequential shifts across multiple latent classes can be challenging in part because it may not be possible to observe the particular stage-sequential pattern of a single latent class variable directly. In addition, one latent class variable may affect or be affected by other latent class variables and the associations among multiple ...
Saebom, Jeon +3 more
openaire +2 more sources
Biometrics, 2000
Summary.In many areas of medical research, such as psychiatry and gerontology, latent class variables are used to classify individuals into disease categories, often with the intention of hierarchical modeling. Problems arise when it is not clear how many disease classes are appropriate, creating a need for model selection and diagnostic techniques ...
Garrett, Elizabeth S., Zeger, Scott L.
openaire +2 more sources
Summary.In many areas of medical research, such as psychiatry and gerontology, latent class variables are used to classify individuals into disease categories, often with the intention of hierarchical modeling. Problems arise when it is not clear how many disease classes are appropriate, creating a need for model selection and diagnostic techniques ...
Garrett, Elizabeth S., Zeger, Scott L.
openaire +2 more sources
The Statistician, 1989
The basic idea underlying latent class (LC) analysis is a very simple one: some of the parameters of a postulated statistical model differ across unobserved subgroups. These subgroups form the categories of a categorical latent variable (see entry latent variable).
A. J. Woods, Allan L. McCutcheon
openaire +2 more sources
The basic idea underlying latent class (LC) analysis is a very simple one: some of the parameters of a postulated statistical model differ across unobserved subgroups. These subgroups form the categories of a categorical latent variable (see entry latent variable).
A. J. Woods, Allan L. McCutcheon
openaire +2 more sources
Latent class analysis with ordered latent classe
British Journal of Mathematical and Statistical Psychology, 1990In this paper a latent class model is described in which the latent classes are ordered imposing inequality constraints on item response and cumulative response probabilities from subsequent latent classes. These inequality constraints are derived from the basic assumption that, when the latent classes may be ordered from low to high along the latent ...
openaire +1 more source
International Journal of Child Abuse & Neglect, 2019
The aims of this study were to identify latent classes of adverse childhood experiences (ACEs) in a large sample of college students (N = 8997), investigate the relations between ACEs classes and life functioning, and compare results using latent class ...
Addie N. Merians +3 more
semanticscholar +1 more source
The aims of this study were to identify latent classes of adverse childhood experiences (ACEs) in a large sample of college students (N = 8997), investigate the relations between ACEs classes and life functioning, and compare results using latent class ...
Addie N. Merians +3 more
semanticscholar +1 more source
Identifying PTSD symptom typologies: A latent class analysis.
Psychiatry Research, 2020Posttraumatic stress disorder (PTSD) is characterized by re-experiencing, avoidance, negative alterations in cognition and mood, and arousal symptoms per the Diagnostic and Statistical Manual of Mental Disorders, 5th edition (DSM-5).
Sarah B Campbell +3 more
semanticscholar +1 more source
2010
A statistical model can be called a latent class (LC) or mixture model if it assumes that some of its parameters differ across unobserved subgroups, LCs, or mixture components. This rather general idea has several seemingly unrelated applications, the most important of which are clustering, scaling, density estimation, and random-effects modeling. This
openaire +2 more sources
A statistical model can be called a latent class (LC) or mixture model if it assumes that some of its parameters differ across unobserved subgroups, LCs, or mixture components. This rather general idea has several seemingly unrelated applications, the most important of which are clustering, scaling, density estimation, and random-effects modeling. This
openaire +2 more sources
Pedestrian crash analysis with latent class clustering method.
Accident Analysis and Prevention, 2019Pedestrians are the most vulnerable users of the highway transportation system. While encouraging "Green Transportation", a concerning fact emerges in the United States: pedestrian deaths are climbing faster than motorist fatalities, reaching nearly 6000
Ming Sun, Xiaoduan Sun, Donghui Shan
semanticscholar +1 more source
A latent class analysis of health lifestyles and suicidal behaviors among US adolescents.
Journal of Affective Disorders, 2019BACKGROUND Previous studies have documented the link between individual health behaviors and suicide, but little is known about the influence of health lifestyles on suicide among adolescents. This study aims to identify the unobserved patterns of health
Yunyu Xiao +2 more
semanticscholar +1 more source