Sensitive periods and other timing hypotheses in developmental psychopathology: A tutorial / Kylie K. HARRALL ; Deborah H. GLUECK ; Elysia Poggi DAVIS ; Keith E. MULLER ; Dana DABELEA ; Jenalee R. DOOM in Development and Psychopathology, 37-4 (October 2025)  

Public ISBD [article]  inDevelopment and Psychopathology > 37-4 (October 2025) . - p.1721-1729 Titre : Sensitive periods and other timing hypotheses in developmental psychopathology: A tutorial Type de document : Texte imprimé et/ou numérique Auteurs : Kylie K. HARRALL, Auteur ; Deborah H. GLUECK, Auteur ; Elysia Poggi DAVIS, Auteur ; Keith E. MULLER, Auteur ; Dana DABELEA, Auteur ; Jenalee R. DOOM, Auteur Article en page(s) : p.1721-1729 Langues : Anglais (eng) Mots-clés : Development  longitudinal modeling  methods  sensitive periods  tutorial Index. décimale : PER Périodiques Résumé : Researchers often aim to assess whether repeated measures of an exposure are associated with repeated measures of an outcome. A question of particular interest is how associations between exposures and outcomes may differ over time. In other words, researchers may seek the best form of a temporal model. While several models are possible, researchers often consider a few key models. For example, researchers may hypothesize that an exposure measured during a sensitive period may be associated with repeated measures of the outcome over time. Alternatively, they may hypothesize that the exposure measured immediately before the current time period may be most strongly associated with the outcome at the current time. Finally, they may hypothesize that all prior exposures are important. Many analytic methods cannot compare and evaluate these alternative temporal models, perhaps because they make the restrictive assumption that the associations between exposures and outcomes remains constant over time. Instead, we provide a tutorial describing four temporal models that allow the associations between repeated measures of exposures and outcomes to vary, and showing how to test which temporal model is best supported by the data. By finding the best temporal model, developmental psychopathology researchers can find optimal windows for intervention. En ligne : https://dx.doi.org/10.1017/S0954579424001299 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=567 [article] Sensitive periods and other timing hypotheses in developmental psychopathology: A tutorial [Texte imprimé et/ou numérique] / Kylie K. HARRALL, Auteur ; Deborah H. GLUECK, Auteur ; Elysia Poggi DAVIS, Auteur ; Keith E. MULLER, Auteur ; Dana DABELEA, Auteur ; Jenalee R. DOOM, Auteur . - p.1721-1729. Langues : Anglais (eng) in Development and Psychopathology > 37-4 (October 2025) . - p.1721-1729 Mots-clés : Development  longitudinal modeling  methods  sensitive periods  tutorial Index. décimale : PER Périodiques Résumé : Researchers often aim to assess whether repeated measures of an exposure are associated with repeated measures of an outcome. A question of particular interest is how associations between exposures and outcomes may differ over time. In other words, researchers may seek the best form of a temporal model. While several models are possible, researchers often consider a few key models. For example, researchers may hypothesize that an exposure measured during a sensitive period may be associated with repeated measures of the outcome over time. Alternatively, they may hypothesize that the exposure measured immediately before the current time period may be most strongly associated with the outcome at the current time. Finally, they may hypothesize that all prior exposures are important. Many analytic methods cannot compare and evaluate these alternative temporal models, perhaps because they make the restrictive assumption that the associations between exposures and outcomes remains constant over time. Instead, we provide a tutorial describing four temporal models that allow the associations between repeated measures of exposures and outcomes to vary, and showing how to test which temporal model is best supported by the data. By finding the best temporal model, developmental psychopathology researchers can find optimal windows for intervention. En ligne : https://dx.doi.org/10.1017/S0954579424001299 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=567

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