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. Flexible hybrid on-line/in-class format. Short on-line learning blocks with in-class hands-on activities.
Course fee: $425
You will be asked to provide a University Procard or personal credit card for the fee. Fee includes a light dinner each week. (CCTSI K-awardees and OB/GYN MFM Fellows attend for free.)
Class size is limited.
Schedule of Topics
You may attend an optional lab from 6:00 - 6:30pm, for sessions March 29 – May 3, prior to the lecture at 6:30pm. The March 22 session is all lecture from 6:00pm - 7:45pm.
- March 22: Statisticians Have a Language of Their Own: General Terminology
- March 29: Proportions and Means with Confidence (Intervals)
- April 5: What a P-value Does (and Doesn’t) Mean
- April 12: Is My Finding Significant? Statistical vs. Clinical Significance
- April 19: Does It Matter that I Generated 10000 P-values?
Multiple Comparisons and Hypothesis Testing
- April 26: Top 5 Statistical Tests
- May 3: It Says, "They adjusted the analysis." - Regression Modeling
No grades. All fun. Not for credit.
This introductory short course does not replace formal education in biostatistics.
Continuous attendance is encouraged. In-class and on-line participation required.
A certificate of completion will be provided with
5 out of 7 in-class lectures attended and all on-line components completed.
Questions? Please contact Glenda Crawford.
Sponsored by the Biostatistics, Epidemiology, and Research Design (BERD) core of the CCTSI.