BMB 961-301: Gaps, Missteps, and Errors in Statistical Data Analysis

BMB 961-301: Gaps, Missteps, and Errors in Statistical Data Analysis

November 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.

Event Categories:  Trainings

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:

Topics

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

Prerequisites

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.