Nilam Ram, Ph.D.

University of Virginia, Charlottesville, VA 
lifespan development
"Nilam Ram"
Mean distance: 18.59 (cluster 13)


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John Nesselroade grad student 2006 UVA
 (Emphasizing individuality in developmental models of change.)
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Susman EJ, Marceau K, Dockray S, et al. (2019) Interdisciplinary Work Is Essential for Research on Puberty: Complexity and Dynamism in Action. Journal of Research On Adolescence : the Official Journal of the Society For Research On Adolescence. 29: 115-132
Lu ZH, Chow SM, Ram N, et al. (2019) Zero-Inflated Regime-Switching Stochastic Differential Equation Models for Highly Unbalanced Multivariate, Multi-Subject Time-Series Data. Psychometrika
Foley JE, Ram N, Susman EJ, et al. (2018) Changes to sleep-wake behaviors are associated with trajectories of pubertal timing and tempo of secondary sex characteristics. Journal of Adolescence. 68: 171-186
Grimm KJ, Ram N. (2018) Latent Growth and Dynamic Structural Equation Models. Annual Review of Clinical Psychology. 14: 55-89
Morales S, Ram N, Buss KA, et al. (2017) Age-related changes in the dynamics of fear-related regulation in early childhood. Developmental Science
Grimm KJ, Davoudzadeh P, Ram N. (2017) IV. DEVELOPMENTS IN THE ANALYSIS OF LONGITUDINAL DATA. Monographs of the Society For Research in Child Development. 82: 46-66
Wood J, Oravecz Z, Vogel N, et al. (2017) Modeling Intraindividual Dynamics Using Stochastic Differential Equations: Age Differences in Affect Regulation. The Journals of Gerontology. Series B, Psychological Sciences and Social Sciences
Cole PM, Bendezú JJ, Ram N, et al. (2017) Dynamical Systems Modeling of Early Childhood Self-Regulation. Emotion (Washington, D.C.)
Helm JL, Ram N, Cole PM, et al. (2016) Modeling Self-Regulation as a Process Using a Multiple Time-Scale Multiphase Latent Basis Growth Model. Structural Equation Modeling : a Multidisciplinary Journal. 23: 635-648
Chow SM, Bendezú JJ, Cole PM, et al. (2016) A Comparison of Two-Stage Approaches for Fitting Nonlinear Ordinary Differential Equation Models with Mixed Effects. Multivariate Behavioral Research. 51: 154-184
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