Latent Process Model is a statistical modeling framework that belongs to the class of latent variable models, distinguished by its specification of unobserved stochastic processes evolving over time to represent the underlying dynamics influencing time-dependent covariates in longitudinal data analysis.
384
Publications
27.8K
Citations
1.1K
Authors
465
Institutions
Publications per year
2017–2026
140
Variants
Latent Process Model
Parents
Publications
384
Beyond SEM: General Latent Variable Modeling
Bengt Muthén · Behaviormetrika · 2002 · 1.1K citations · Full text
Social Sciences, Educational Measurement, Measurement Invariance +11
Joint modelling of longitudinal measurements and event time data
Robert K. Henderson · Biostatistics · 2000 · 916 citations
1–5 of 384
Authors
1.1K
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Institutions
465
Inserm
Paris, France
15 h-index
68 publications
3.9K citations
Bordeaux Population Health
Bordeaux, France
13 h-index
46 publications
2.9K citations
University of Perugia
Perugia, Italy
11 h-index
18 publications
696 citations
Lancaster University
Lancaster, United Kingdom
10 h-index
16 publications
1.3K citations
Université de Bordeaux
Bordeaux, France
10 h-index
35 publications
1.4K citations
Johns Hopkins University
Baltimore, United States
9 h-index
22 publications
801 citations
University of Michigan
Ann Arbor, United States
8 h-index
18 publications
1.2K citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
7 h-index
12 publications
4.3K citations
1–8 of 465
Venues
- arXiv (Cornell University)
Repository · 10 publications · 675 citations
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- Biometrics
9 publications · 441 citations
9
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- Structural Equation Modeling A Multidisciplinary Journal
SEM · 9 publications · 1K citations
9
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- Journal of the American Statistical Association
9 publications · 968 citations
9
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- Statistics in Medicine
8 publications · 310 citations
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