Learn biostatistics through courses offered by the Department of Biostatistics and Informatics in the Colorado School of Public Health, and the Biostatistics Epidemiology and Research Design (BERD) Program of the CCTSI. In addition, our CIDA biostatisticians have also offered short seminars, lectures and tutorials on basic statistics to our clients.
The Department of Biostatistics and Informatics offers an introductory applied statistics sequence designed for those without a calculus background and requires minimal calculations.
- Bios6601 - Applied Biostatistics I: descriptive statistics and enough basic analysis to create a Table 1 for a scientific paper.
- Bios6602 - Applied Biostatistics II: extends the basic principles of descriptive and inferential statistics to modeling more complex relationships using basic regression analyses.
- More in-depth training is also taught in the MS biostatistics graduate courses. They require calculus and cover the theory of the methods in addition to the application.
- Other applied courses are offered in longitudinal analysis, genetics/genomics analysis, etc.
Covers basic statistics concepts for seven weekly evening classes, every fall. Provided by the Biostatistics, Epidemiology, & Research Design (BERD) program in the CCTSI.
Watch and learn from previous online seminar recordings on statistical literacy. Offered by the Biostatistics, Epidemiology, & Research Design (BERD) program in the CCTSI.
Provide a wide range of statistical information from basic terminology, to conducting t-tests, running regression models, and more.
Understand research concepts such as reproducible research, the difference between collaboration and consultation, protected health information (PHI), and more.
STATCOM is a community outreach program provided to the greater Aurora area by graduate students in the Department of Biostatistics and Informatics at the University of Colorado Anschutz Medical Campus. The program offers the expertise of biostatistics graduate students, free of charge, to non-profit and community organizations in the areas of study design, data organization, analysis, and interpretation.