Biostatistics
The Biostatistics Shared Resource supports basic, clinical, population- and community-based, and translational cancer research by providing cost-effective, full-service biostatistical support for researchers with interests spanning the full range of research activities in the UNMCCC.
The Biostatistics Shared Resources is located in the Cancer Research Facility (CRF), on the Ground Floor. Phone: 505-925-1119 • Fax: 505-272-2570
Biostatistics provides an array of statistical support to researchers in the UNMCCC, including:
- the provision of statistical expertise in study designs and data types arising across the cancer research continuum,
- the provision of protocol reviews, assistance in the development of new research projects,
- support in conducting and monitoring ongoing research projects,
- the provision of analytical support for research studies, and
- access to specialized statistical software.
Biostatistics Shared Resource
Director, Biostatistics Shared Resource
Email Dr Pankratz
Office: CRF G019
Office Phone: 505-272-3718
To acknowledge use of this shared resource, please include the following in your publications:
This research was partially supported by UNM Comprehensive Cancer Center Support Grant NCI P30CA118100 and the Biostatistics shared resource.
The Specific Aims of the UNMCC Biostatistics Shared Resource are to:
- Provide state-of-the-art biostatistical support in the development and conduct of research projects.
- Provide statistical review and oversight.
- Provide education about biostatistical topics and about biostatistical resources.
The UNMCC Biostatistics Shared Resource (BSR) collaborates with Cancer Center investigators to
- Develop and define appropriate research objectives, hypotheses, and endpoints
- Select efficient study designs
- Determine appropriate sample sizes
- Propose appropriate statistical methods for analyses, including for the interim and final analyses
- Define stopping rules
- Devise blinding and randomization plans for clinical studies
- Plan and write statistical sections of grants and protocols
- Statistical analysis of pilot and study data
- Work with data management staff for efficient database design and quality
Request Biostatistics Support
Request a consultation with the Biostatistics Shared Resource using the form below.
To request support from the Biostatistics Shared Resource, please complete this form. Your request will be reviewed promptly and we will schedule a meeting to discuss your project, including outlining how and when the resource can assist you.
Biostatistics Support
To request support from the Biostatistics Shared Resource, please complete our request form. Your request will be reviewed promptly and we will schedule a meeting to discuss your project, including outlining how and when the resource can assist you.
Guidelines for Working with the Biostatistics Shared Resource (BSR)
- BSR provides support to UNM Cancer Center members through collaborations in which Biostatisticians become long-term collaborators within research teams through the support of grant funding.
- Any exceptions to this model can be discussed through an introductory meeting with the BSR Director.
- Please provide sufficient lead time for our work. All requests are unique and a precise timeline will be estimated during initial meeting.
Examples of time guidelines are:
- Letter of support for grant application: 1 week
- Internal grant application: 1 month
- External grant application: 3 months
- Statistical analysis for manuscript/abstract/presentation: 1- 3 months
What to expect after request submission:
- Request will be reviewed promptly and investigators will be contacted to set up a meeting to further discuss proposal with assigned statistician.
- Initial meeting will include a discussion outlining how the BSR can assist you, determine a timeline, establish a scope of work.
- All grant proposals that include a BSR statistician require a Grant Proposal Letter of Intent (LOI) for Biostatistical Support signed by the investigator and lead statistician prior to submission
- A Letter of Agreement for Biostatistical Support is completed prior to initiating project work
Biostatistics Faculty and Staff
Professor of Internal Medicine
Director, UNMCCC Biostatistics Shared Resource
Cancer Research Facility (CRF) G19
505-272-3718
Email Dr Pankratz
Research Interests
Statistical genetics and genetic epidemiology, Statistical methods in Epidemiology, Methods for the analysis of Longitudinally Collected Data, Survival Analysis, Risk models and risk prediction
Education and Training
PhD, Statistics, Rice University
MS, Statistics, Brigham Young University
Co-Director, UNMCCC Biostatistics Shared Resource
Director of Clinical Trial Biostatistics
Cancer Research Facility (CRF) G13
505-272-2963
Email Dr. Wu
Research Interests
Statistical methods in cancer clinical trial design, Single-arm phase II survival trial design, Bayesian adaptive randomized umbrella and platform trial design, Group sequential trial design, Screened selection design, Multi-arm multi-stage trial design, Cancer Immunotherapy Trial design, Survival analysis, Likelihood inference, Asymptotic theorem.
Education and Training
Postdoctoral, Fred Hutchinson Cancer Research Center
PhD, Statistics, University of Toronto
MS, Statistics, York University
Associate Professor of Internal Medicine
Cancer Research Facility (CRF) G-17
505-272-4195
E-mail Dr. Kang
Research Interests
Statistical modeling and analysis for high dimensional genomics data, Statistical methods for biomarker evaluation and clinical prediction.
Education and Training
PhD Statistics, University of New Mexico
MS Statistics, University of New Mexico
MS Applied Mathematics, Beijing University of Posts and Telecommunications
BS Mathematics, Beijing University of Posts and Telecommunications
View Publications
Assistant Professor
Cancer Research Facility (CRF) G15
505-272-8704
E-mail Dr. Luo
Research Interests
Statistical genomics and genetic epidemiology, high-dimensional data reduction, next generation sequencing studies, genome wide association studies, gene-set/pathway analysis, genomic clinical trials
Education and Training
PhD Public Health (Biostatistics), The University of Texas School of Public Health
MS Mathematics, Fudan University, China
BS Applied Mathematics, Wuhan University, China
View Publications
Assistant Professor
Division of Epidemiology, Biostatistics and Preventive Medicine,
Department of Internal Medicine
Cancer Research Facility (CRF), Bldg 229, Room G09
Research Interests
Application of mathematical and statistical modeling techniques in health-related outcome data, with a key focus on population- and clinically-collected HPV screening data, analysis of geospatially referenced data.
Education and Training
PhD, Cancer Prevention and Biostatistics, Queen Mary University of London
MSc, Medical Statistics, London School of Hygiene and Tropical Medicine
Research Interests
Statistical genetics, genetic/genomic epidemiology, experimental design for research studies
Education and Training
PhD, Statistical Genetics, University of Iowa
MS, Statistics, University of Iowa
Research Scientist
Cancer Research Facility (CRF) G-22
505-272-9578
E-mail Boyce
Research Interests
Health disparities, population- based research, survey research, and nutritional epidemiology.
Education and Training
MPH Epidemiology/Biostatistics, Tufts University School of Medicine
MS Nutrition, Tufts University Friedman School of Nutrition Science and Policy
BA Biochemistry, Knox College
Research Scientist
Cancer Research Facility (CRF) G-22
Email: dkanda@salud.unm.edu
Research Interests
clinical trials, population-based research, environmental epidemiology, statistical methods in research
Education and Training
DrPH Biostatistics, Georgia Southern University
MPH Biostatistics, Georgia Southern University
B.Pharmacy, Ahmadu Bello University, Nigeria
Research Scientist
Cancer Research Facility (CRF) G-22
505-272-6038
E-mail Kosich
Research Interests
Health equity, environmental epidemiology, statistical methods in epidemiology
Education and Training
MPH Epidemiology, University of Pittsburgh
BS Chemistry, Harvey Mudd College
BS Sociology, Harvey Mudd College
Research Interests
Collaborative biostatistics consulting, SAS programming, application of novel statistical design and analysis approaches
Education and Training
MS, Statistics, University of Wyoming
BS, Computer Science, University of Wyoming
Biostatistics 101 Course
Understanding biostatistics is paramount for cancer research. BIOSTATS 101: Principles of Biostatistics and Data Science for Cancer Researchers at UNMCCC is a diverse program presented in 7-lecture series hosted by the Biostatistics Shared Resource. The lectures introduce the basic principles of biostatistics and quantitative data science and are intended for Clinicians, Fellows, Cancer Researchers, and Cancer Biology Students who are interested in engaging in research, in the process of learning biostatistical applications, or for those who desire a refresher course. Types of data, descriptive statistics, estimation, hypothesis testing, correlation/regression, survival analysis, sample size calculation, and guidelines for statistical genomic data analysis will be taught in this course series.
Understanding biostatistics is paramount for cancer research. BIOS 101: Principles of Biostatistics and Data Science for Cancer Researchers at UNM Comprehensive Cancer Center (UNMCCC) is a diverse program presented in a series of seven lectures. The lectures introduce the basic principles of biostatistics and quantitative data science and are intended for those who are interested in engaging in research, in the process of learning biostatistical applications, or for those who desire a refresher course.
Questions? E-mail to tboyce@salud.unm.edu (Tawny Boyce).
This course covers basic statistical methods.
The lectures are intended for those who are in the process of learning biostatistical applications or for those who desire a refresher course. This course will cover:
- types of data
- descriptive statistics
- estimation
- hypothesis testing
- correlation/regression
- survival analysis
- sample size calculation
- guidelines for statistical genomic data analysis
Some classes will introduce basic theory and its application using computing tools or free software.
Course Goal
The goal of this class is to introduce the basic statistical concepts and methods for cancer research.
Course Format
The course will consist of both lecture and hands-on instruction. The lecture materials (slides) will be posted before each class.
Registration Policy
There is no fee for this lecture series. However, students should be registered before April 7, 2025, via email to tboyce@salud.unm.edu (Tawny Boyce).
*Note: Some students may want to take only selective lectures, please specify this request when registering
Who should take this course?
Clinicians, Fellows, Cancer Researchers, and Cancer Biology Students.
Note: Only UNM Health Science Center employees are eligible. If you are not a UNM HSC faculty or staff member, please contact the Coordinator prior to the registration deadline.
Course Prerequisites
None
Credit policy
No credit for this course.
Homework
Students will receive a homework assignment of 5 questions each week. The homework assignment will be counted as a test to gauge the student’s understanding of the material.
Grade
The Pass or Fail grade will be calculated as follows: Homework (6 of 7) AND Attendance (6 of 7) = Pass.
Certification
Students who complete and pass the course will be awarded a certificate.
Course evaluation
At the end of each class, students are requested to fill out and submit an evaluation form for the lecture.