BMB 961-301: Gaps, Missteps, and Errors in Statistical Data Analysis
BMB 961-301: Gaps, Missteps, and Errors in Statistical Data AnalysisNovember 5th, 12:30PM to December 5th, 2:00PM
Instructor: Arjun Krishnan
This is an advanced short (1-credit) course designed to: (1) discuss common misunderstandings & typical errors in the practice of statistical data analysis; and (2) provide a mental toolkit for critical thinking and enquiry of analytical methods and results.
Class meets Nov 5 - Dec 5, 2018 on MW 12:40-2:00p.
Interested students are strongly encouraged to complete the following steps to find out if the class is right for them:
Underpowered statistics • Pseudoreplication • P-hacking & multiple hypothesis correction • Difference in significance & significant differences • Base rates & permutation tests • Regression to the mean • Descriptive statistics & spurious correlations • Estimation of error and uncertainty • (Others under consideration; Subject to small changes)
For more details, visit course website: https://github.com/krishnanlab/teaching/tree/master/2018-fall_statgaps/
See Course Flyer
This is not an introductory course in statistics or programming. We will assume: 1) Familiarity with basic statistics & probability. 2) Ability to do basic data wrangling, analyses, & visualization using R or Python.
- Strongly recommended MSU courses: CMSE 201 and CMSE 890 Sec 301-or-304 and Sec 302.
- Please check the course website for links to free online preparatory resources.