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Modeling reciprocal effects in medical research: Critical discussion on the current practices and potential alternative models
Longitudinal designs provide a strong inferential basis for uncovering reciprocal effects or causality between variables. For this analytic purpose, a cross-lagged panel model (CLPM) has been widely used in medical research, but the use of the CLPM has recently been criticized in methodological lite...
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| Publié dans: | PLoS One |
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| Auteurs principaux: | , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Public Library of Science
2019
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6764673/ https://ncbi.nlm.nih.gov/pubmed/31560683 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0209133 |
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