|Anna Baron, PhD||Professor|
Statistical methods for translational research, cancer prevention and control
|Patrick "Jud" Blatchford, PhD||Research Associate|
Pre-clinical, clinical trials (phase 1 & phase 2), and study design
|Jessica Bondy, MSHA||Associate Professor-Clinical|
Public health informatics, distributed data sharing networks, translational research, informatics research, data management systems, and cancer informatics
|Nichole Carlson, PhD||Director - CBC, Associate Professor, Associate Chair of Research|
Models of driver-response and feedback/forward associations in biologic data, Bayesian models of pulsatile hormone data, point process models applied to biologic data, and hormone data and Alzheimer's disease research
|Kathryn Colborn, PhD||Assistant Professor|
Statistical methods for spatially and temporally correlated data, machine learning, global infectious diseases, and vector-borne diseases
|Diane Fairclough, DrPh, MSPH||Professor|
Quality of life, missing data, and longitudinal studies
|Debashis Ghosh, PhD||Chair - BIOS Department, Professor|
|Gary Grunwald, PhD||Professor|
Most of my statistical methods research has been with correlated non-normal data, with early work in time series and more recently in longitudinal and clustered data. I have worked collaboratively in nutrition and physiology, and more recently in cardiology with an excellent group of investigators and statisticians at the Denver VA.
|Elizabeth Juarez-Colunga, PhD||Assistant Professor|
Recurrent event data, zero-heavy models, functional data analysis, and statistical methods for repeated outcomes
|Alex Kaizer, PhD||Assistant Professor|
Adaptive clinical trial designs, methods to incorporate supplemental/historic information, biomarker validation and evaluation, Bayesian hierarchical modeling
|Katerina Kechris, PhD||Associate Professor|
Development and application of statistical methods for analyzing high throughput omics data.
|John Kittelson, PhD||Professor|
Design of clinical trials, survival analysis, longitudinal data, Bayesian methods in clinical trials, group sequential trial design, and methods for monitoring clinical trials
|Miranda Kroehl, PhD||Research Associate|
Statistical methods for microbiome data analysis and data integration between different "omics" data sets. Statistical and machine learning methods for evaluation of clinical decision support (CDS) tools.
|Sharon Lutz, PhD||Assistant Professor|
My primary area of research is statistical genetics and genomics. My work relates to areas like high-dimensional statistics, computational statistics, Bayesian hierarchical models, mediation analysis, and causal inference.
|Sam MaWhinney, ScD||Professor|
Varying-coefficient methods for analyzing longitudinal data, HIV/AIDS research, and process, structures and outcomes in cardiac research
|Sarah Schmiege, PhD||Associate Professor-Research|
Statistical consulting, structural equation modeling, longitudinal and multilevel data analysis, and health psychology
|Brandie Wagner, PhD||Associate Research Professor|
Joint models, permutation theory, microbiota data analysis, and biomarker development
|David Weitzenkamp, PhD||Research Instructor|
|Fuyong Xing, PhD||Assistant Professor|
Biomedical image computing and machine learning
|Fan Yang, PhD||Assistant Professor|
My primary research interests lie in causal inference including the analysis of observational studies, the analysis of randomized studies complicated by various issues such as truncation, and mediation analysis. I develop statistical methodologies that are motivated by real life problems, especially in relation to public health, medicine, public policy, and social science.
|Diana Abbott, PhD||Research Associate|
Linkage analysis, genetic data, GWAS, clinical trial design and analysis, hematology collaboration, survival analysis
|Amanda Allshouse, MS||Research Senior Instructor|
General consulting and statistical analysis, questionnaire development and analysis of complex survey data, survival data and QTWiST analysis, and clinical trials (HIV/AIDS, cancer)
|Evan Carey, MS||Senior Professional Research Assistant|
|Linda Carlin, PhD||Senior Professional Research Assistant|
|William Feser, MS||Senior Professional Research Assistant/Data Manager and Analyst|
The development or novel use of biomarkers related to lung cancer. This includes biomarkers in biological samples as well as those derived from CT images.
|Andrew Hammes, MS||Research Instructor|
My research interests include reproducible research with R, git, and markdown; large data analysis including large survey data and genomics data; and spline models for complex missing not at random data.
|William Henderson, PhD, MPH||Professor|
Multicenter clinical trials, outcomes research (surgery)
|Paula Langner||Senior Professional Research Assistant|
|Caroline Ledbetter, MPH||Senior Professional Research Assistant|
Large data sets, complex surveys designs, and reproducible research
|Bryan McNair, MS||Research Instructor|
Survival analysis and stochastic processes, generalized linear mixed models, statistical teaching and communication.
|Susan Mikulich-Gilbertson, PhD||Associate Professor|
Longitudinal data analysis - linear and nonlinear mixed models
|Mary Morrow, MS||Research Instructor|
|Matthew Mulvahill, MS||Research Instructor|
|Dominik Reinhold, PhD||Assistant Professor-Research|
|John Rice, PhD||Assistant Professor-Research|
Missing/coarsened outcomes, longitudinal data analysis, recurrent events, and semiparametric regression methods for binary and semicontinuous outcomes data.
|Brandy Ringham, PhD||Research Instructor|
|Pamela Russell||Research Instructor|
Algorithm and software development for bioinformatics, human genetics and genomics, radiogenomics, microRNA involvement in alcohol response, molecular biology of large non-coding RNAs, and coding practices in bioinformatics
|Harry Smith, MPH||Senior Professional Research Assistant|
I mainly work with "-omics" data including micro-array, RNA-Seq, and metabolites. I am also interested in Gene Network Analysis and its related methods development.
|Lauren Vanderlinden, MS||Research Instructor|
|Kayla Williamson, MS||Research Instructor|
Statistical analysis in the context of "-omics" data specifically microbiomics
|Gary Zerbe, PhD||Professor-Clinical|
Applications of dose response and time response curve methodology, multivariate linear and nonlinear mixed models, and randomization and other nonparametric procedures
|Weiming Zhang, PhD||Research Instructor|
|John Brinton, PhD||Assistant Research Professor|
Power and sample size, screening trial design, statistical consulting, longitudinal data analysis
|Kristen Campbell, MS||Research Instructor|
Survival analysis, joint modeling, Bayesian methods
|Miranda Dally||Senior Professional Research Assistant|
|L. Miriam Dickinson, PhD||Professor|
Cluster randomized trials, covariate constrained randomization, multilevel modeling, practice-based research
|Douglas Everett, PhD||Professor|
|Tasha Fingerlin, PhD||Associate Professor|
|Jeri Forster, PhD||Adjunct Assistant Professor|
Varying coefficient models, non-ignorable dropout, and longitudinal data analysis
|Dexiang Gao, PhD||Associate Professor|
Clinical trials, study design, mixed effect models with non-Gaussian outcomes, and high throughput genomic data analyses
|Jane Gralla, PhD||Associate Professor|
Pediatric and adult solid organ transplantation, survival analysis
|Audrey Hendricks, PhD||Assistant Professor|
As a statistical geneticist and biostatistician, I am interested in the application and development of methods to better understand the complex nature of health and disease. My research mostly includes work with high-dimensional sequencing and 'omics data.
|Larry Hunter, PhD||Professor|
Computational biology, drug development, and genomics. Active in open source software, open access for scientific publications and training scientists in the responsible conduct of research.
|Susan Moore, PhD||Assistant Director of Research Operations, Denver Health; Assistant Professor of Biostatistics and Informatics, CSPH; Assistant Professor of Medicine, SOM|
Consumer health informatics, medical informatics, clinical decision support, public health informatics, mobile health technology and implementation science
|Camille Moore, PhD||Assistant Professor|
Statistical methods for missing data; longitudinal and correlated data; statistical methods for gene expression data; Bayesian hierarchical models.
|Zhaoxing Pan, MB, PhD||Assistant Research Professor|
Longitudinal and survival data in clinical settings
|Tzu Phang, PhD||Associate Professor|
|Laura Pyle, PhD||Assistant Professor, Associate Director Child Health Research Biostatistics Core|
Longitudinal data, clinical trials, joint models, diabetes, obesity, metabolism and physiology
|Laura Saba, PhD||Assistant Professor|
|Stephanie Santorico, PhD||Professor and Director of Statistical Programs|
Methods and designs in statistical genetics and genetic epidemiology including high-dimensional data, multivariate statistical inference, genetic risk prediction and disease sub-typing, variance components methods, multivariate linkage, family-based association tests, and meta-analysis
|Stefan Sillau, PhD||Research Instructor|
|Matthew Strand, PhD||Associate Professor|
Analysis correlated data
|Aikchoon Tan, PhD||Associate Professor|
|Suhong Tong, MS||Research Senior Instructor|
Pediatric cardiology, community based weight management for disadvantaged children using longitudinal data analysis methods to identify the factors that predict the clinical outcomes over time. Population based survey research with complex survey design. Recently I developed new interest in statistical analysis methods for metabolomics data.
|Kathleen Torkko, PhD||Assistant Professor|
Inflammation and benign prostatic hyperplasia progression, and vitamin D and prostate cancer
|Brian Vestal, PhD||Assistant Professor|
Genomics/genetics, quantitative image analysis, spatial statistics, Bayesian statistics, developing computationally efficient software implementations of new methodologies, emphysema, pulmonary fibrosis
|Laura Wiley, PhD||Assistant Professor|
Dr. Wiley seeks to harness the power of electronic medical records (EMRs) for precision medicine. From phenomics to pharmacogenomics, her primary goal is to help improve patient care by using and applying data, big and small alike.
|Stanley (Xuesheng) Xu, PhD||Assistant Professor|
Longitudinal data analysis, observational studies, statistical methodology for vaccine safety studies, cardiac outcome research, mental health
|Zhiying You, MD, PhD||Assistant Research Professor|
Design, analysis and interpretation of clinical trials and epidemiologic studies; application of statistical principles and methods in health-related research; development of new statistical techniques; special interest in cluster randomized trials, longitudinal data analysis, and causal inference