Sessions are held 10:00-11:00am US Eastern Time on most Fridays. Links labeled “Offline discussion” for each section’s outline below will take you to a dedicated datamethods.org topic for in-depth or post-live session discussions. You can go directlly to the discussion topic for session n by going to `bit.ly/datamethods-bbrn`

e.g. `...-bbr1`

. Short questions and comments made during the live broadcast should be entered in YouTube’s live chat.

- What is biostatistics?
- Statistical scientific method
- Types of data analysis
- Types of measurements
- Optimum response variables
- Offline discussion

Moderators: Donald Szlosek (IDEXX Inc), Matt Shotwell (Vanderbilt)

- Random variables
- Probability
- Distributions
- Descriptive statistics
**Watch in advance**: 2-3 of the videos linked from the camera icons in Section 3.9- Offline discussion

Moderators: Donald Szlosek (IDEXX Inc), Tom Stewart and Dandan Liu (Vanderbilt)

- Statistical graphics
- Tables | separate video
**Watch in advance**: John Rauser’s video- Offline discussion

Moderators: Donald Szlosek (IDEXX), Matt Shotwell and Tom Stewart (Vanderbilt)

This session will be pre-recorded; for questions/discussion use only the offline discussion link below.

- Statistical inference
- Hypothesis testing vs. asking questions
- Branches of statistics
- Errors in hypothesis testing
- Misinterpretations of p-values
- Interval estimation
- Offline discussion

This session will likely be held live through a YouTube premier by which a recorded video is played but the instructor engages in live chat with participants. If this works the video will be viewed on the BBRcourse YouTube Channel at 10am US Eastern Time.

- One sample test for means (Frequentist + Bayesian)
- One sample method for a probability (Frequentist + Bayesian)
- Paired data and one-sample tests
- Offline discussion

This session will be broadcast on the BBRcourse YouTube Channel at 10am US Eastern Time Friday 2019-12-06.

- Two-sample test for means (Frequentist + Bayesian)
- How not to present results involving P-values
- Offline discussion

- Study design considerations
- Sizing a pilot study using precision of SD
- Problems with standardized effect sizes
- Choice of effect size
- Multiple hypotheses and reasons not to multiplicity-adjust
- More about ordinal outcomes
- Study design big picture

- Crossover experiment example
- Offline discussion

- Comparing two proportions
- Normal approximation and Pearson
*χ*^{2}test - Why not to use Fisher’s “exact” test
- Sample size
- Relative effect measures, especially odds ratio

- Normal approximation and Pearson
- Introduction to logistic regression, for comparing proportions
- Bayesian logistic regression for comparing two proportions