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Using Logistic Regression to Predict Onset and Recovery With Tau Equivalency

Many studies analyze the effect of a predictor X on the onset or recovery of an outcome Y, for example some kind of disorder. The findings from this simulation study indicate that such effects can be found even if there are no changes in individuals’ true scores on the outcome, i.e., with tau equiva...

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Detalles Bibliográficos
Autores principales: Sorjonen, Kimmo, Lundberg, Michael, Melin, Bo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6174221/
https://www.ncbi.nlm.nih.gov/pubmed/30327630
http://dx.doi.org/10.3389/fpsyg.2018.01849
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author Sorjonen, Kimmo
Lundberg, Michael
Melin, Bo
author_facet Sorjonen, Kimmo
Lundberg, Michael
Melin, Bo
author_sort Sorjonen, Kimmo
collection PubMed
description Many studies analyze the effect of a predictor X on the onset or recovery of an outcome Y, for example some kind of disorder. The findings from this simulation study indicate that such effects can be found even if there are no changes in individuals’ true scores on the outcome, i.e., with tau equivalency, given some degree of positive test-retest correlation of the outcome and a correlation between the predictor and the outcome at baseline. Researchers predicting onset/recovery should be aware of this fact and in order not to draw hasty conclusions to control for what can be expected from these correlations alone.
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spelling pubmed-61742212018-10-16 Using Logistic Regression to Predict Onset and Recovery With Tau Equivalency Sorjonen, Kimmo Lundberg, Michael Melin, Bo Front Psychol Psychology Many studies analyze the effect of a predictor X on the onset or recovery of an outcome Y, for example some kind of disorder. The findings from this simulation study indicate that such effects can be found even if there are no changes in individuals’ true scores on the outcome, i.e., with tau equivalency, given some degree of positive test-retest correlation of the outcome and a correlation between the predictor and the outcome at baseline. Researchers predicting onset/recovery should be aware of this fact and in order not to draw hasty conclusions to control for what can be expected from these correlations alone. Frontiers Media S.A. 2018-10-01 /pmc/articles/PMC6174221/ /pubmed/30327630 http://dx.doi.org/10.3389/fpsyg.2018.01849 Text en Copyright © 2018 Sorjonen, Lundberg and Melin. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Psychology
Sorjonen, Kimmo
Lundberg, Michael
Melin, Bo
Using Logistic Regression to Predict Onset and Recovery With Tau Equivalency
title Using Logistic Regression to Predict Onset and Recovery With Tau Equivalency
title_full Using Logistic Regression to Predict Onset and Recovery With Tau Equivalency
title_fullStr Using Logistic Regression to Predict Onset and Recovery With Tau Equivalency
title_full_unstemmed Using Logistic Regression to Predict Onset and Recovery With Tau Equivalency
title_short Using Logistic Regression to Predict Onset and Recovery With Tau Equivalency
title_sort using logistic regression to predict onset and recovery with tau equivalency
topic Psychology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6174221/
https://www.ncbi.nlm.nih.gov/pubmed/30327630
http://dx.doi.org/10.3389/fpsyg.2018.01849
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