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Repeated Measures Correlation [PDF]
Frontiers in Psychology, 2017 Repeated measures correlation (rmcorr) is a statistical technique for determining the common within-individual association for paired measures assessed on two or more occasions for multiple individuals.
Jonathan Z. Bakdash, Laura R. Marusich
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High-dimensional repeated measures [PDF]
Journal of Statistical Theory and Practice, 2017 Recently, new tests for main and simple treatment effects, time effects, and treatment by time interactions in possibly high-dimensional multigroup repeated-measures designs with unequal covariance matrices have been proposed. Technical details for using more than one between-subject and more than one within-subject factor are presented in this article.
Happ, Martin +2 more
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Response feature analyses for repeated measures behavioral data [PDF]
Biology OpenDaniel T. Burns, Ken G. Gerow
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The use of mixed models in a modified Iowa Gambling Task and a prisoner's dilemma game [PDF]
Judgment and Decision Making, 2007 Researchers in the decision making tradition usually analyze multiple decisions within experiments by aggregating choices across individuals and using the individual subject as the unit of analysis.
Jean Stockard +2 more
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Frontiers in Oncology, 2022 PurposeIntravoxel incoherent motion (IVIM) is a promising technique that can acquire perfusion information without the use of contrast agent, contrary to the more established dynamic contrast-enhanced (DCE) technique.
Ernst S. Kooreman +5 more
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Imputation for Repeated Bounded Outcome Data: Statistical and Machine-Learning Approaches
Mathematics, 2021 Real-life data are bounded and heavy-tailed variables. Zero-one-inflated beta (ZOIB) regression is used for modelling them. There are no appropriate methods to address the problem of missing data in repeated bounded outcomes.
Urko Aguirre-Larracoechea +1 more
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Checking Assumptions for Repeated Measures ANOVA in RStudio
, 2022 RStudio script from the YouTube videos 'Checking Assumptions for Repeated Measures ANOVA in RStudio': https://youtu.be/1XhuQae0kIY and https://youtu.be ...
Lacey, Seán
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Repeated-measures mixed methods linear regression models to predict reach distances.
, 2022 Repeated-measures mixed methods linear regression models to predict reach distances.
Ryan T. Halvorson (13014647) +9 more
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Repeated Measurements Designs. II. [PDF]
The Annals of Statistics, 1977 Abstract : Repeated measurements designs are concerned with scientific experiments in which subjects (experimental units) are repeatedly exposed to a sequence of different or identical tests (treatments). These designs have application in many branches of scientific inquiry such as: Biology, education, food science, marketing, environmental engineering,
Hedayat, A., Afsarinejad, K.
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Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, 2022 Background Function after acute stroke using the modified Rankin Scale (mRS) is usually assessed at a point in time. The analytical implications of serial mRS measurements to evaluate functional recovery over time is not completely understood. We compare
Alexander Chye +19 more
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