Nathan Smith

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My undergraduate work was done at Brigham Young University where I graduated with a B.S. in Psychology and a Minor in Statistics in 2012.  My current research interests include applications of integral approximation methods to non-linear mixed models and planned missing data designs.

Invited Book Review

Smith, N.*, & Blozis, S. A. (in press). Growth Curve Modeling: Theory and Applications. Structural Equation Modeling.

Paper Presentations

Smith, N., & Blozis, S. A. Approximation methods and quadrature points in PROC NLMIXED: A simulation study using structured latent curve models. A paper presented at the Annual Meeting of Western Users of SAS Software, San Diego, CA.  9-11 September 2015.

Smith, N. Integral approximation methods for non-linear models: Quadrature points and adaptive estimation for structured latent curve models. A paper presented at the 3rd Annual Meeting of Innovations in Latent Variable and Random-Effects Models. Champlin, MN.  18-19 September 2015.

Paper Proceedings

Smith, N. (2014). Options in estimating nonlinear mixed models: Quadrature points and approximation methods. Western Users of SAS Sofware 2014 Conference Proceedings.

Awards

WUSS 2015 Student Scholarship Award Recipient

WUSS 2014 Student Scholarship Award Recipient

 

Contact 

Nate Smith
Psychology Department
One Shields Avenue
University of California, Davis
Davis, CA 95616
email: natebillings.smith@gmail.com