Division of Biostatistics

(Susan G. Hilsenbeck, Ph.D., Director)

Mission Statement

Dr. Susan Hilsenbeck

We provide statistical consultation and expertise for cancer-related research support including:

Study design and conduct for preclinical, clinical and epidemiological studies;
Recommendations for data management and computer systems support;
Data analysis and interpretation;
Assistance with manuscript writing;
Development of new biostatistical methodology to meet the project goals.

We offer state-of-the-art statistical and bioinformatic services. We are committed to meet the quantitative needs of both clinical and basic cancer research for the members of the Dan L. Duncan Cancer Center and other cancer researchers in Baylor College of Medicine (BCM).

Biostatistics services

The Division of Biostatistics also serves as the Biostatistics Shared Resource (BSR) at the Dan L. Duncan Cancer Center under the direction of Dr. Susan G. Hilsenbeck. The BSR is a relatively new Resource, but takes advantage of existing expertise in the Breast and Prostate Programs within BCM and collaborating institutions.

The BSR provides a full range of services, including general biostatistical support for planning, conduct, and analysis of cancer-related clinical, preclinical, laboratory and epidemiologic studies. We also offer study design and analysis of microarray gene expression experiments. We can assist with clinical trial conduct, databases planning, statistical analysis, and report generation for interim analyses, DSMCs, and manuscript preparation. We will review proposals for cancer-related clinical studies and have members on each of the PRMS Working Groups and the PRMS Executive Committee.

General consultation

Planning, conduct and analysis of all types of studies including laboratory, clinical and epidemiological studies
Rigorous statistical validation, analysis plan and sample size calculation
Assistance with study conduct including randomization and data auditing
Data management recommendation
Protocol review

Clinical trials

Quality controls
Software

Bioinformatics: microarray and proteomics

Data analysis and study design
Software
Public data

Data management (consultation)

Data definitions
Forms design
Database development
Editing and quality control
Reporting

Personnel

Name	Position	Expertise	Email
Susan Hilsenbeck, Ph.D.	Professor and Director	Prognostic/predictive factors; early phase clinical trials; genomic analysis	sgh@bcm.edu
Chad Creighton, Ph.D.	Asst. Professor	Bioinformatics, genomic analysis	creighto@bcm.edu
Wei Li, Ph.D.	Asst. Professor		wl1@bcm.edu
Hao Liu, Ph.D.	Asst. Professor	Survival analysis and longitudinal data	haol@bcm.edu
Michael Scheurer, Ph.D., M.P.H.	Asst. Professor		scheurer@bcm.edu
Anna Tsimelzon, Ph.D.	Asst. Professor	Microarray analysis	annat@bcm.edu
Anna Frolov, M.S.	Instructor	Prostate cancer, prognostic factors	afrolov@bcm.edu
Krystal Sexton, M.S.	Research Assoc.	Clinical trials monitoring and reporting	ksexton@bcm.edu
Dror Berel, M.S.	Biostatistician		berel@bcm.edu
Priya Bhatia Shetty, M.S.	Biostatistician	Design and analysis of retrospective databases	pbhatia@bcm.edu
Tao Wang, M.S.	Biostatistician	Analysis of clinical trials	taow@bcm.tmc.edu
Meng-Fen Wu, M.S.	Biostatistician	Early clinical trials; general statistical analysis	mengfenw@bcm.edu
Yiqun Zhang, M.S.	Biostatistician		yiqunz@bcm.edu

Existing biostatistical faculty within Dan L. Duncan Cancer Center-affiliated institutions are invited to affiliate with the Cancer Center Division of Biostatistics. The division invites faculty that can provide important additional expertise in specialty areas such as statistical genetics, health economic analysis or clinical trials.

Education

We have a strong commitment to education. We offer shared Resource members guest lecture in a number of courses within BCM, and often give continuing education talks to post-docs, fellows, and staff members. Dr. Hilsenbeck and Dr. Liu are Co-Course Directors of an introductory course that is open to any BCM student, staff or faculty member. This course is required for Translational Biology and Molecular Medicine Ph.D. students and is also one of several key interventions in the College's Quality Enhancement Plan for education.