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Nonlinear relations between variables, such as the curvilinear relationship between childhood trauma and resilience in patients with schizophrenia and the moderation relationship between mentalizing, and internalizing and externalizing symptoms and q
Externí odkaz:
http://arxiv.org/abs/2411.02763
Autor:
Henry, Teague R., Duffy, Kelly A., Rudolph, Marc D., Nebel, Mary Beth, Mostofsky, Stewart H., Cohen, Jessica R.
Publikováno v:
Network Neuroscience, Vol 4, Iss 1, Pp 70-88 (2020)
Whole-brain network analysis is commonly used to investigate the topology of the brain using a variety of neuroimaging modalities. This approach is notable for its applicability to a large number of domains, such as understanding how brain network or
Externí odkaz:
https://doaj.org/article/768249c889ce46d08203e18c25876c34
For prediction models developed on clustered data that do not account for cluster heterogeneity in model parameterization, it is crucial to use cluster-based validation to assess model generalizability on unseen clusters. This paper introduces a clus
Externí odkaz:
http://arxiv.org/abs/2405.20400
Intensive longitudinal (IL) data are increasingly prevalent in psychological science, coinciding with technological advancements that make it simple to deploy study designs such as daily diary and ecological momentary assessments. IL data are charact
Externí odkaz:
http://arxiv.org/abs/2305.13444
Autor:
Slipetz, Lindley R., Eberle, Jeremy W., Levinson, Cheri A., Falk, Ami, Cusack, Claire E., Henry, Teague R.
Ecological momentary assessment (EMA) data have a broad base of application in the study of time trends and relations. In EMA studies, there are a number of design considerations which influence the analysis of the data. One general modeling framewor
Externí odkaz:
http://arxiv.org/abs/2305.03214
When using ecological momentary assessment data (EMA), missing data is pervasive as participant attrition is a common issue. Thus, any EMA study must have a missing data plan. In this paper, we discuss missingness in time series analysis and the appr
Externí odkaz:
http://arxiv.org/abs/2301.13144
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Akademický článek
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Model-Implied Instrumental Variable Two-Stage Least Squares (MIIV-2SLS) is a limited information, equation-by-equation, non-iterative estimator for latent variable models. Associated with this estimator are equation specific tests of model misspecifi
Externí odkaz:
http://arxiv.org/abs/1808.10522
Publikováno v:
Psychometrika; Dec2024, Vol. 89 Issue 4, p1203-1229, 27p