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Social determinants of clusters of health behaviours: a longitudinal cohort study using latent- class analysis. [PDF]
BMC Public HealthMcEvoy O, Layte R.
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The Journal of Hand Surgery, 2013
c ( l WHEN RADIOGRAPHS ARE normal in a young adult patient with snuffbox tenderness after a fall, we turn to more sophisticated radiological examination to rule out a fracture of the scaphoid. But each examination can miss a fracture or suggest a fracture when one is not present. There is no test that is both reliable and accurate in the diagnosis of a
Neuhaus, Valentin, Ring, David C
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c ( l WHEN RADIOGRAPHS ARE normal in a young adult patient with snuffbox tenderness after a fall, we turn to more sophisticated radiological examination to rule out a fracture of the scaphoid. But each examination can miss a fracture or suggest a fracture when one is not present. There is no test that is both reliable and accurate in the diagnosis of a
Neuhaus, Valentin, Ring, David C
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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
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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
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2018
Latent class analysis (LCA) is a statistical method for identifying unobserved groups based on patterns of categorical data. LCA is related to cluster analysis (see Chapter 4, this volume) in that both methods are concerned with the classification of cases (e.g., people or objects) into groups that are not known or specified a priori.
Karen M. Samuelsen, C. Mitchell Dayton
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Latent class analysis (LCA) is a statistical method for identifying unobserved groups based on patterns of categorical data. LCA is related to cluster analysis (see Chapter 4, this volume) in that both methods are concerned with the classification of cases (e.g., people or objects) into groups that are not known or specified a priori.
Karen M. Samuelsen, C. Mitchell Dayton
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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 ...
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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
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