Now showing items 4-8 of 8

    • Latent factor regression models for grouped outcomes 

      Woodard, Dawn; Love, Tanzy; Thurston, Sally; Ruppert, David; Sathyanarayana, Sheela; Swan, Shanna (2012-01-31)
      We consider models for the effect of exposure on multiple outcomes, where the outcomes are nested in domains. We show that random effect models for this nested situation fit into a standard factor model framework, which ...
    • On Generalized Additive Models For Regression With Functional Data 

      McLean, Mathew (2013-08-19)
      The focus of this dissertation is the introduction of the functional generalized additive model (FGAM), a novel regression model for association studies between a scalar response and a functional predictor. The FGAM extends ...
    • On The Modeling Of Multiple Functional Outcomes With Spatially Heterogeneous Shape Characteristics 

      Soiaporn, Kunlaya (2014-01-27)
      This dissertation presents an approach for analyzing functional data with multiple outcomes that exhibits spatially heterogeneous shape characteristics. An example of data of this type that motivated this study is a data ...
    • Targeted Therapies: Adaptive Sequential Designs For Subgroup Selection In Clinical Trials 

      Magnusson, Baldur (2011-01-31)
      A critical part of clinical trials in drug development is the analysis of treatment efficacy in patient subgroups (subpopulations). Due to multiplicity and the small sample sizes involved, this analysis presents substantial ...
    • Topics In Bivariate Spline Smoothing 

      Xiao, Luo (2012-08-20)
      Penalized spline methods have been popular since the work of Eilers and Marx (1996). Recent years saw extensive theoretical studies and a wide range of applications of penalized splines. In this dissertation, we consider ...