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useR! 2024
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8 - 11 July, 2024
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Tuesday, July 9 • 13:25 - 13:30
Latent Transition Analysis Using R - Christian Ritz, University of Southern Denmark

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Latent transition analysis (LTA) is a useful statistical modelling approach for identifying subgroups ("latent classes") and describe transitions between subgroups over time. Subgroups may be characterized in terms of prevalence at each time point and through transition probabilities capturing the likelihood of transition from one subgroup at one time point to another (or the same) subgroup at another time point. Investigating predictors of transition between subgroups is often of key interest. Currently, LTA is mostly carried out using commercial and specialized software, but not by means of open source statistical software. This talk will show that there exist a flexible and modular approach for LTA using R.
Speakers
avatar for Christian Ritz

Christian Ritz

Dr., University of Southern Denmark
Christian Ritz is a professor of statistics and epidemiology. He has been using R for many years for a wide range of statistical analyses in biology, environmental science, medicine, nutrition epidemiology, physiology, and toxicology. He is the developer of the R package "drc".

Tuesday July 9, 2024 13:25 - 13:30 CEST
Wolfgangsee
  Statistical modelling, Lightning Talk
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