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CCTSI > Research Resources > Biostatistics, Epidemiology, and Research Design (BERD)
 

Biostatistics, Epidemiology, and Research Design (BERD)

The Biostatistics, Epidemiology and Research Design (BERD) program of the CCTSI is a resource that provides statistical consultation and collaboration to investigators and trainees across the CCTSI campuses and affiliated hospitals. Administered by the Colorado Biostatistics Consortium (CBC), the BERD also provides training and mentorship in biostatistics and study design.

 Services and Resources

  • Request a BERD Consultation
  • Study design, including sample size/power calculations
  • Data analysis
  • Manuscript preparation
  • Biostatistics training and education. Not sure how much Biostatistics/Epidemiology training you need?
    View some suggestions.

CCTSI subsidizes costs for approximately 40 hours of work for initial meetings, small projects, or for support of CCTSI training/pilot grant awardees. For more information about the Biostatistics, Epidemiology and Research Design program, please visit http://cbc.ucdenver.edu. For questions or additional information about our services, please contact John Neal, 303.724.4370.

 Biostatistics Short Course

The Biostatistics, Epidemiology, and Research Design (BERD) core of the Colorado Clinical & Translational Sciences Institute (CCTSI) is pleased to announce a Short Course in Biostatistics on seven Thursday evenings this fall.

This course is focused on clinical and medical investigations. Material will be presented within a clinical context and will emphasize basic statistical concepts at an accelerated pace. (All lecture. No homework. No grades. Not for credit.) If you are interested in improving your ability to critically assess the literature, more rigorously design research studies, or more effectively understand and communicate biostatistical issues, this course is for you.

View the Biostatistics Short Course Flyer >>

Weekly: 7 Thursday Evenings
October 2 – November 13, 2014

5:30 pm – 7:45 pm
Ed 2 South (L28) - Room 2306

Course Fee: $400
Fee includes a complete set of printed slides (over 500 pages) and a light dinner each week.

Class size is limited.

You will be asked to provide a speedtype for the fee. (CCTSI K-awardees attend for free.) For alternative payment options, register via the link and email: john.neal@ucdenver.edu

Since lecture topics build upon each other, continuous attendance is encouraged.

Topic Schedule

  • October 2: Descriptive Statistics and Hypothesis Testing
  • October 9: t-tests and Confidence Intervals
  • October 16: Nonparametric Tests and Analysis of Variance
  • October 23: Analysis of Categorical Data, Properties of Diagnostic Tests, and Power/Sample Size
  • October 30: Regression and Correlation
  • November 6: Logistic Regression and Survival Analysis
  • November 13: Analysis of Longitudinal and Repeated Measures Data, and Literature Evaluation

Questions? Please contact John Neal, 303.724.4370.

Sponsored by the Rocky Mountain Poison and Drug Center (Denver Health) and the Biostatistics, Epidemiology, and Research Design (BERD) core of the Colorado Clinical & Translational Sciences Institute (CCTSI). Colorado Clinical & Translational Sciences Institute is an institute at the University of Colorado Denver. University of Colorado is committed to diversity and equality in education and employment. CCTSI is supported in part by Colorado CTSA grant UL1 TR000154 from NCATS/NIH.

 
 

 ‭(Hidden)‬ Education Seminar Series - hidden

Education Seminar Series: Biostatistics for Non-Statisticians

Co-sponsored by the BERD and the Colorado Center for AIDS Research (CFAR). All Seminars are scheduled for 3:00pm - 4:00pm in Education 1, Room 1300.

 BERD Policies

 Education Seminar Series

 AHRQ User Guide

The Agency for Healthcare Research and Quality (AHRQ) has released a new handbook, Developing a Protocol for Observational Comparative Effectiveness Research: A User’s Guide, published in January 2013. This guide provides key information for designing comparative effectiveness research protocols to identify both minimal standards and best practices for designing observational comparative effectiveness research (CER) studies.

View the AHRQ User’s Guide >>

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