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1.
The hetnet awakens: understanding complex diseases through data integration and open science
by Himmelstein, Daniel S., Ph.D.  University of California, San Francisco. 2016: 120 pages; 10133408.
2.
Extensions of nonparametric randomization-based analysis of covariance
by Hussey, Michael A., Dr.P.H.  The University of North Carolina at Chapel Hill. 2013: 127 pages; 3562748.
3.
A statistical method for detection of small-study effects in meta-analyses of randomized controlled trials
by Bucci, Jay Robert, Ph.D.  The University of Texas Health Science Center at San Antonio. 2015: 267 pages; 10137622.
4.
Some Statistical Methods on Design, Modeling and Analysis of High-Dimensional Data
by Shang, Shulian, Ph.D.  New York University. 2012: 120 pages; 3524267.
5.
Contributions to Statistical Testing, Prediction, and Modeling
by Pesko, John Carl, Ph.D.  The University of New Mexico. 2017: 136 pages; 10264281.
6.
Adaptive Statistical Methods for Microbiome Association Studies
by Koh, Hyunwook, Ph.D.  New York University. 2018: 118 pages; 10750033.
7.
Patterns of crossing over and gene conversion in meiotic recombination
by Campbell, Christopher L., Ph.D.  Yeshiva University. 2016: 216 pages; 10165490.
8.
An Analysis of Medication Adherence and Optimism-Pessimism in a Population of People Living with HIV/AIDS
by Thompson, Clinton J., Ph.D.  The George Washington University. 2014: 141 pages; 3642034.
10.
Invariant Recognition of Vocal Features
by Moore, Richard Channing, III, Ph.D.  University of California, Berkeley. 2011: 70 pages; 3616333.
11.
Computational approaches for intelligent processing of biomedical data
by Mirina, Alexandra, Ph.D.  Yeshiva University. 2015: 111 pages; 3664552.
13.
Robust Inference and Group Sequential Methods in Discrete Hazard Models
by Nguyen, Vinh Quang, Ph.D.  University of California, Irvine. 2011: 204 pages; 3477976.
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16.
Poisson multiscale methods for high-throughput sequencing data
by Xing, Zhengrong, Ph.D.  The University of Chicago. 2016: 229 pages; 10195268.
17.
Predictive models of cytotoxicity as mediated by exposure to environmental toxicants and drugs
by Cong, Ming, M.S.  California State University, Long Beach. 2015: 48 pages; 1602562.
18.
Enhancing drug safety through active surveillance of observational healthcare data
by Ryan, Patrick B., Ph.D.  The University of North Carolina at Chapel Hill. 2011: 252 pages; 3465081.
19.
Statistical problems in DNA microarray data analysis
by Wang, Nancy Naichao, Ph.D.  University of California, Berkeley. 2009: 166 pages; 3402692.
20.
A Monte Carlo Simulation Study for Poly-k Test in Animal Carcinogenicity Studies
by Xie, Wen, M.S.  California State University, Long Beach. 2017: 75 pages; 10638898.
21.
Controlling for hidden factors in high dimensional eQTL studies
by Gao, Chuan, Ph.D.  Cornell University. 2012: 106 pages; 3520145.
24.
Petal - A New Approach to Construct and Analyze Gene Co-Expression Networks in R
by Petereit, Julia, Ph.D.  University of Nevada, Reno. 2016: 210 pages; 10248467.
25.
A retrospective epidemiologic analysis of influenza pandemics in Arkansas
by Gray, Andrew J., M.S.  University of Central Arkansas. 2012: 74 pages; 1516365.
26.
Bayesian lasso: An extension for genome-wide association study
by Joo, LiJin, Ph.D.  New York University. 2017: 119 pages; 10243856.
27.
Statistical modeling with counts of bats
by Ingersoll, Thomas Eugene, Ph.D.  University of California, Berkeley. 2010: 115 pages; 3448989.
28.
Multi-Class Computational Evolution: Development, Benchmark Comparison, and Application to RNA-Seq Biomarker Discovery
by Crabtree, Nathaniel Mark, Ph.D.  University of Arkansas at Little Rock. 2017: 106 pages; 10620232.
29.
gibbSeq: A new Bayesian method for multiple comparisons for RNA-seq data
by Acheampong, Daniel Asare, M.S.  New Mexico Institute of Mining and Technology. 2017: 77 pages; 10264015.
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