Biostatistics


Director: Soledad Fernandez, PhD
Associate Director:  Kevin Coombes, PhD

The Biostatistics Shared Resource (BSR) provides expertise in the biostatistical design and analysis of clinical, basic and population-based research.

BSR services enable OSUCCC – James researchers to collaborate on all aspects of experimental design; grant proposal development; data management and statistical analysis of clinical, epidemiological, public-health and laboratory research data; and manuscript preparation.

BSR assistance in proposal preparation has resulted in funded biostatistics support for new and renewed programmatic grants and a large number of R awards. BSR members obtain grant funding predominantly through collaboration with OSUCCC investigators and most have developed long-term collaborative relationships.

Please contact us at the Center for Biostatistics.

Expertise

The BSR is staffed by members of Ohio State’s Center for Biostatistics, the Division of Biostatistics in the College of Public Health and the Division of Human Genetics in the College of Medicine.

Population Studies:

  • Erinn Hade, PhD: Adaptive Designs, Propensity Score Methods for Causal Inference in Observational Studies, Missing Data Sensitivity Analysis

  • David Kline, PhD: Observational Data, Longitudinal and Correlated Data, Missing Data, Research Synthesis

  • Mahmoud Abdel-Rasoul, MS, MPH: General Design and Planning, Linear and Nonlinear Models, Secondary Analysis for Clinical Studies

  • Jason Benedict, MS: Mixed Models for Longitudinal Data, Regression Modeling, Survey Sampling

  • Amy Lehman, MAS: Laboratory Experiments Design and Planning, Design and Modeling of Large Longitudinal Data

  • Juan Peng, MAS: Mixed Models for Longitudinal Data, Group Randomized Designs, Survey Sampling, Mediation Analysis

  • Kyle Porter, MAS: Bio-assays, Laboratory Experiments, Diagnostic Studies, General Study Design and Planning of Statistical Analysis

  • Rachel Smith, MPH: Data Collection and Management, Epidemiologic Methods, Using Electronic Health Records, Regressions Methods

  • Gregory Young, MS: Data Capture and Management, Survival Analysis and Cox Regression, Mixed-Effects Regression Models, Group Randomized Trials

  • Michael Pennell, PhD: Design and Analysis of Group Randomized Trials, Survival Analysis, Joint Modeling Outcomes of Different Scales

  • Rebecca Andridge, PhD: Missing Data, Multiple Imputation, Non-ignorable Non-response, Survey Sampling

Phase I/II/III Clinical Trials:

  • Lai Wei, PhD: Adaptive Designs for Clinical Trials, Mixed Linear Models, GWAS, Linkage Analysis

  • Xueliang (Jeff) Pan, PhD: Design of Clinical Trials, Missing Data, Image Analysis and Mixed Linear Models

  • Julie Stephens, MS: Clinical Trial Designs, Missing Data in Clinical Trials

  • Vedat Yildiz, MS: Linear and Non-Linear Regression Methods, Mixed Effect Models

  • Songzhu Zhao, MS: Regression Modeling, Mixed Models for Longitudinal Data, Large Population Databases

  • Marilly Palettas, MPH: Survival Analysis and Cox Regression, Clinical Trial Design, Mixed Effect Models

  • Eric McLaughlin, MS: Linear and Non-Linear Regression Methods, Missing Data, Survival Data Modeling

High Dimensional and Omics Data:

  • Lianbo Yu, PhD: Variance Smoothing and Hierarchical Modeling, Multiple Testing and Error Rate Control Methods, Biomarker Signature Discovery and Validation

  • Joseph McElroy, PhD: Genomic Profiling, Transcriptome and Data Visualization

  • Xiaokui (Molly) Mo, PhD, MAS: mRNA, miRNA, DNA methylation, metabolomics data analyses, Basic Research Experimental Design (in vitro, in vivo), Ingenuity Pathway Analysis (IPA certified analyst)

  • Jianying Zhang, PhD: Biomarker Signature Studies, Biomarker Signature Discovery and Validation

  • Xiaoli Zhang, PhD, MAS: mRNAs, miRNAs, and Proteins, High Dimensional Data Reduction, Data Analysis, Bioassay Experimental Design, Basic Science Laboratory Experiments Design and Data Analysis

  • Brett Klamer, MS: Data Visualization and Exploration, Statistical Programming, Regression Modeling

  • Kellie Archer, PhD: Statistical Methods for High-Throughput Genomic Assay Analysis, Discrete and Ordinal Response Modeling, Statistical Computing, Supervised Learning and Data Mining

Soledad Fernandez, PhD, BSR, director, manages and coordinates all services provided to OSUCCC members, and establishes unit policies and priorities. Dr. Fernandez is the director of the Center for Biostatistics and research professor in the Department of Biomedical Informatics, College of Medicine. She is the Biostatistics Director of four NCI P01 grants and a SPORE grant and serves as the director of the Biostatistics Program of Ohio State’s Center for Clinical and Translational Science. Dr. Fernandez has 16 years’ experience in collaborating with biomedical investigators on large studies, translational laboratory experiments and statistical genetics. Dr. Fernandez has been a part of the Ohio State community since 2001, serving as a visiting assistant professor in the Department of Statistics, where she taught undergraduate and graduate courses in the area of mathematical statistics and regression analysis for the engineering sciences. Prior to joining the university community, Dr. Fernandez received a MS in Statistics in 1998 and a joint PhD in Statistics and Animal Breeding and Genetics in 2001 from Iowa State University. She works in the planning, design and preparation of large programmatic grant and other OSUCCC proposals, and mentors new biostatisticians. She is an expert in statistical genetics, as well as in basic science research support.

Guy Brock, PhD, Center for Biostatistics Deputy Director, research associate professor in the Departments of Biomedical Informatics and Center for Biostatistics. His current research focuses in the areas of statistical genetics, bioinformatics, and genomics. Recent projects include integrated analysis of miRNA-mRNA data, competing risks and multi-state models, and missing value estimation in microarray data.

Kevin Coombes, PhD, BSR, associate director, his research focuses on statistical, mathematical, and computational methods to process, analyze, and understand highly multivariate biological data arising from high throughput technologies. He is particularly interested in (1) methods that incorporate existing biological knowledge early in the analytical process and (2) methods that integrate diverse types of biological data with a view toward predicting clinically relevant patient outcomes. He is an expert in forensic bioinformatics. Prior to joining the university, Dr. Coombes was a faculty member at the M.D. Anderson Cancer Center, where he directed the Bioinformatics Shared Resource as part of their CCSG, and also directed or co-directed similar cores in multiple SPOREs and P01s. He has significant experience in reproducible research, procedures and processes for carefully documenting methods of data handling and statistical analysis and leads the research focus group for biomarker discovery and validation.

Mahmoud Abdel-Rasoul, MS, MPH, is an expert in linear models, longitudinal data analysis and secondary analysis for large clinical and observational studies. He is an expert on Women Health Initiative (WHI) data. He provides planning, design and analysis support to investigators in all the OSUCCC programs, and has established collaborations with investigators in the ET program.

Erinn Hade, PhD, leads the Population Studies Program in the Center for Biostatistics. She supports clinical trial and observational study designs in all cancer research programs. In particular, Dr. Hade supports clinical trials, and survey and observational studies for the Cancer Control Program; two international breast cancer phase III clinical trials for the Molecular Carcinogenesis and Chemoprevention Program; and clinical trial design for the Experimental Therapeutics Program. She is also an expert on WHI data and has developed collaborations within Ohio State and the Midwest region on WHI related projects and grants.

David Kline, PhD, supports the design and analysis of clinical trials and observational studies for OSUCCC.  He has particular expertise in analyses involving hierarchical models, Bayesian methods, missing data, and research synthesis.  Dr. Kline also serves as a reviewer for the CSRC.

Mahmoud Abdel-Rasoul, MS, MPH, is an expert in linear models, longitudinal data analysis and secondary analysis for large clinical and observational studies. He is an expert on Women Health Initiative (WHI) data. He provides planning, design and analysis support to investigators in all the OSUCCC programs, and has established collaborations with investigators in the ET program.

Jason Benedict, MS, collaborates with the Department of Family Medicine and the College of Veterinary Medicine. He has expertise in mixed models for longitudinal data and repeated measurements, regression modeling (logistic, linear, Poisson, Cox), and survey sampling.

Amy Lehman, MAS, an expert in statistical modeling and programming, works with the Molecular Biology and Cancer Genetics and Innate Immunity programs. For more than 12 years, Ms. Lehman has offered her expertise and support to cancer investigators.

Juan Peng, MS, supports investigators with analysis for longitudinal data and hierarchical modeling. Her expertise is in mixed models, group randomized trials and mediation analysis. She supports investigators in the CC scientific program.

Kyle Porter, MAS, provides database management and statistical programming and analysis support for all OSUCCC programs. He has expertise in non-linear mixed modeling, as well as bio-assay statistical design and analysis and modeling pharmacogenomics data. He has collaborations with investigators in the Experimental Therapeutics Program. His expertise is in non-linear mixed modeling and bioassay statistical design and analysis. 

Rachel Smith, MPH, collaborates with the Comprehensive Cancer Center and the Center for Clinical and Translational Science. She has expertise in data collection and database management, epidemiologic methods, using electronic health records and claims data, and regression methods (logistic, linear, Cox).

Greg Young, MS, has expertise in survival analysis and linear models and provides design and analysis support for all programs of the OSUCCC. He plays a critical role in managing the complexities of data retrieval and management in the international breast cancer phase III clinical trials. An expert in outpatient clinical trials, specifically with data capture and management, he has also offered statistical lectures and journal club reviews for fellows and faculty in the OSUCCC. He has collaborations with investigators in the MCC and Cancer Control programs.

Lai Wei, PhD, leads the Clinical Trials Program in the Center for Biostatistics. She has expertise in modeling multiple measures over time and in statistical genetics. Her work includes re-estimation of sample size for time-to-event clinical trials and other adaptive clinical trial designs. Dr. Wei serves as a biostatistical reviewer for the CSRC and provides analysis and design support for Phase I/II clinical trials. She works with investigators in the ET, MBCG and IMM programs.

Xueliang (Jeff) Pan, PhD, has strong collaborative relationships with investigators in MCC, ET and the Innate Immunity Programs and has provided leadership in preparing a P01 in chemoprevention. He supports clinical trial and observational study design for these and other OSUCCC programs, and has expertise in image analysis and linear mixed modeling. Dr. Pan is a biostatistical reviewer for the CSRC and a member of the DSM executive committee, which meets monthly to monitor AE reports for all Phase I/II clinical trials.

Julie Stephens, MS, provides planning, design and general analysis support and database management for all OSUCCC programs. She also analyzes data for the Ohio Cancer Incidence Surveillance System in support of cancer research programs and for public health reports, including the American Cancer Society’s Facts & Figures. She is a biostatistical reviewer of the CSRC.

Allison Wehr, MS, provides general design, planning and statistical analysis support to all OSUCCC programs. She has expertise in adaptive clinical trials and is a biostatistical reviewer of the CSRC.

Vedat Yildiz, MS, has expertise in programming and statistical modeling techniques, mixed linear models and analysis of large population databases. He is a biostatistical reviewer of the CSRC and provides support to all OSUCCC programs.

Songzhu Zhao, MS, collaborates with the Department of Emergency Medicine, Nationwide Children's Hospital, Center for Clinical and Translational Science, Comprehensive Cancer Center. She has particular expertise in regression modeling (linear, logistic, Poisson, negative binomial, Cox), mixed models for longitudinal data and repeated measurements, and large population databases.

Marilly Palettas, MS, collaborates with the Center for Clinical and Translational Science, the Department of Anesthesiology, the Department of Medical Oncology-Breast Cancer Research, the Department of Urology, and the Neuroscience Research Institute. She has particular expertise in sample size and power calculations, general data analysis (general linear models, mixed effects models, logistic regression, survival and Cox regression), clinical trial study design, data collection, and data management.

Eric McLaughlin, MS, has expertise in linear and non-linear regression methods, handling of missing data, and modeling of survival data. He supports investigators in the Division of Hematology.

Jeremy Tan, MS, has particular expertise in survival analysis, regression methods (linear, logistic, etc.), simulation studies, and missing data imputation.

Lianbo Yu, PhD, leads the High Dimensional Data Program in the Center for Biostatistics. He is an expert in microarray statistical design and analysis, and other high dimensional designs. Dr. Yu develops innovative approaches in microarray analysis, yielding more reliable and transparent results than those from standard microarray methods. Dr. Yu’s Microarray Analysis team published a paper on normalization methods for micro-RNA data, and the group has developed robust smoothing and filtering methods for small sample microarray studies. Dr. Yu supports the MBCG, VO and IMM programs.

Joseph McElroy, PhD, holds his PhD in Genetics. His areas of expertise are in analyses of genetics (SNP, haplotype, GxG, GxE) and high dimensional datasets, such as whole genome association studies, copy number variation, genomic sequence analysis (DNA-, RNA-, ChIP-, miR-seq), and RNA expression analysis. He supports investigators in the MBCG and ET programs.

Xiaokui (Molly) Mo, PhD, MAS, holds a doctorate in biochemistry and a Master of Applied Statistics degree. Her extensive experience in laboratory experimental design and measurement, greatly enhances communications with laboratory investigators. She assists laboratory investigators primarily in the OSUCCC – James MBCG, ET and Innate Immunity Programs.

Jianying Zhang, PhD, supports microarray analysis and leads in visualization of high-dimensional data. Dr. Zhang provides design and analysis support to the MBCG, MCC, ET and IMM scientific programs.

Xiaoli Zhang, PhD, MS, has a strong background in molecular biology and biochemistry and extensive experience in planning and design of basic science experiments and in data analysis. She skillfully clarifies statistical challenges for investigators preparing grant proposals, and greatly enhances communication between investigators and biostatisticians, especially for P01 grants. Dr. Zhang collaborates on planning, design and measurement issues that arise during basic-science investigations and with microarray analysis primarily in the MBCG, ET and IMM scientific programs. She leads the biostatistics core of the Discovery of Anticancer Agents of Diverse Natural Origin P01 (PI: Dr. Kinghorn).

Brett Klamer, MS, provides general design, planning and statistical analysis support to all OSUCCC programs. He has expertise in statistical programming, data visualization, and linear models.

Kellie Archer, PhD, is chair of Division of Biostatistics, College of Public Health. Dr. Archer’s primary research area has been in the development of statistical methods and computational algorithms for analyzing high-throughput genomic data. Such technologies yield datasets consisting of a large number of candidate predictors (p, the number of genes or proteins) on a small number of observations (n, the number of samples). Therefore, appropriate methods of adjusting for multiple comparisons in the presence of high collinearity are still the subject methodological research. Her current research is focused on developing methods and software when the response is either ordinal or discrete and the genomic data are collected cross-sectionally or longitudinally.

Michael Pennell, PhD, is professor in the Division of Biostatistics, College of Public Health.  Dr. Pennell's research interests include nonparametric Bayes, first hitting time models for survival analysis, design and analysis of Group Randomized Trials, joint modeling outcomes of different scales, statistical methods in toxicological risk assessment, and statistical applications in biomedical research including cancer control, pathology, and veterinary medicine.

Rebecca Andridge, PhD, is associate professor in the Division of Biostatistics, College of Public Health. Dr. Andridge's research is focused on imputation methods for missing data, primarily in large-scale probability samples. In particular, she works on methods for imputing survey data when missingness is driven by the missing values themselves (missing not at random). She also is involved in research on statistical issues in group-randomized trials. She collaborates with researchers across campus, including the Institute for Behavioral Medicine Research, the Nisonger Center for Excellence in Developmental Disabilities, and The Ohio State University Comprehensive Cancer Center.

Disease Group

Biostatistical Navigator(s)

Breast

Julie Stephens

Central Nervous System

Jeff Pan

Head & Neck

Guy Brock & Sonia Zhao

Thoracic

Erinn Hade & Amy Lehman

Sarcoma

Jianying Zhang

Genitourinary

Greg Young

Thyroid/Neurology

Lai Wei

Gastrointestinal

Lai Wei

Melanoma

Erinn Hade

Gynecologic

Soledad Fernandez & Erinn Hade

Leukemia & Bone Marrow Transp. 

 Amy Stark

Myeloma Erinn Hade
Lymphoma Lai Wei
   

Translational Therapeutics

Lai Wei

Cancer Control

Greg Young & Erinn Hade

Molecular Biology and Cancer Genetics

Lianbo Yu

Molecular Carcinogenesis and Chemoprevention

Greg Young

Leukemia Research

Amy Stark & Lai Wei

Contact Us

Biostatistics Shared Resource
250 Lincoln Tower
1800 Cannon Drive
Columbus, OH  43221

Phone:  614-293-6899
Fax: 614-293-6902
Email: biostatistics@osumc.edu

Availability: Monday – Friday
Hours: 8 a.m. – 5 p.m.

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