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Theses/Dissertations from 2013

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Modeling time series data with semi-reflective boundaries, Amy May Johnson

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A Bayesian nonparametric approach to modeling longitudinal growth curves with non-normal outcomes, Stephanie Ann Kliethermes

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Adjusting for covariates in zero-inflated gamma and zero-inflated log-normal models for semicontinuous data, Elizabeth Dastrup Mills

Theses/Dissertations from 2012

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The nonparametric least-squares method for estimating monotone functions with interval-censored observations, Gang Cheng

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State space time series clustering using discrepancies based on the Kullback-Leibler information and the Mahalanobis distance, Eric D. Foster

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Concave selection in generalized linear models, Dingfeng Jiang

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A path-specific approach to SEIR modeling, Aaron Thomas Porter

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Statistical methods for deep sequencing data, Shihao Shen

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Statistical models for count time series with excess zeros, Ming Yang

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Making diagnoses with multiple tests under no gold standard, Jingyang Zhang

Theses/Dissertations from 2011

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Criteria for generalized linear model selection based on Kullback's symmetric divergence, Cristina Laura Acion

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Working correlation selection in generalized estimating equations, Mi Jin Jang

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Bias and variance of treatment effect estimators using propensity-score matching, Diqiong Xie

Theses/Dissertations from 2010

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Adaptive designs for dose response studies, Yu-Hui Huang Chang

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Spline-based sieve semiparametric generalized estimating equation for panel count data, Lei Hua

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Grouped variable selection in high dimensional partially linear additive Cox model, Li Liu

Theses/Dissertations from 2009

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Regularized methods for high-dimensional and bi-level variable selection, Patrick John Breheny

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Model selection criteria in the presence of missing data based on the Kullback-Leibler discrepancy, JonDavid Sparks