Flexible and modular latent transition analysis-A tutorial using R.
Latent transition analysis (LTA) is a useful statistical modelling approach for describe transitions between latent classes over time. LTA may be characterized in terms of prevalence at each time point and through transition probabilities over time. Investigating predictors of these transitions is o...
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2025-01-01
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| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0317617 |
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| _version_ | 1832540267210604544 |
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| author | Lisbeth Lund Christian Ritz |
| author_facet | Lisbeth Lund Christian Ritz |
| author_sort | Lisbeth Lund |
| collection | DOAJ |
| description | Latent transition analysis (LTA) is a useful statistical modelling approach for describe transitions between latent classes over time. LTA may be characterized in terms of prevalence at each time point and through transition probabilities over time. Investigating predictors of these transitions is often of key interest. Currently, LTA can mostly be carried out using commercial and specialized software and only to some limited extent by means of open source statistical software. This tutorial demonstrates a flexible and modular approach for LTA, providing a powerful alternative using R through a combination latent class analysis and multiple logistic regression models. This approach has several advantages from a modelling perspective, as demonstrated through revisiting a previously conducted LTA, published in PLoS ONE recently. In short, results were very similar to the original analysis using commercial software although some additional novel results were also obtained. The proposed alternative approach offers more options in terms of choice of effect measures, model assumptions such as hierarchical structures and covariate adjustment, and differential handling of missing data. R code snippets are provided in the tutorial. A detailed accompanying script is also provided for full reproducibility. |
| format | Article |
| id | doaj-art-9d912472c3094f5dbf2ebe8c958f5f7f |
| institution | Kabale University |
| issn | 1932-6203 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj-art-9d912472c3094f5dbf2ebe8c958f5f7f2025-02-05T05:31:11ZengPublic Library of Science (PLoS)PLoS ONE1932-62032025-01-01201e031761710.1371/journal.pone.0317617Flexible and modular latent transition analysis-A tutorial using R.Lisbeth LundChristian RitzLatent transition analysis (LTA) is a useful statistical modelling approach for describe transitions between latent classes over time. LTA may be characterized in terms of prevalence at each time point and through transition probabilities over time. Investigating predictors of these transitions is often of key interest. Currently, LTA can mostly be carried out using commercial and specialized software and only to some limited extent by means of open source statistical software. This tutorial demonstrates a flexible and modular approach for LTA, providing a powerful alternative using R through a combination latent class analysis and multiple logistic regression models. This approach has several advantages from a modelling perspective, as demonstrated through revisiting a previously conducted LTA, published in PLoS ONE recently. In short, results were very similar to the original analysis using commercial software although some additional novel results were also obtained. The proposed alternative approach offers more options in terms of choice of effect measures, model assumptions such as hierarchical structures and covariate adjustment, and differential handling of missing data. R code snippets are provided in the tutorial. A detailed accompanying script is also provided for full reproducibility.https://doi.org/10.1371/journal.pone.0317617 |
| spellingShingle | Lisbeth Lund Christian Ritz Flexible and modular latent transition analysis-A tutorial using R. PLoS ONE |
| title | Flexible and modular latent transition analysis-A tutorial using R. |
| title_full | Flexible and modular latent transition analysis-A tutorial using R. |
| title_fullStr | Flexible and modular latent transition analysis-A tutorial using R. |
| title_full_unstemmed | Flexible and modular latent transition analysis-A tutorial using R. |
| title_short | Flexible and modular latent transition analysis-A tutorial using R. |
| title_sort | flexible and modular latent transition analysis a tutorial using r |
| url | https://doi.org/10.1371/journal.pone.0317617 |
| work_keys_str_mv | AT lisbethlund flexibleandmodularlatenttransitionanalysisatutorialusingr AT christianritz flexibleandmodularlatenttransitionanalysisatutorialusingr |