Top Stats Errors to Look Out for When Reading, Writing and Reviewing Papers

Overview

Poor statistical practice can distort scientific findings and mislead readers. This presentation reviews common statistical problems that readers, authors and reviewers of journals articles should be aware of when assessing research. These include p-hacking, multiple comparisons issues, underpowered studies, correlation/causation confusion, and inappropriate statistical procedures. I discuss the methodological flaws and reasoning behind these errors, as well as ways researchers fall prey to invalid practices. Recommendations are made for identifying questionable research practices in publications. Learn to recognize what makes for credible versus misleading uses of statistics in scientific literature.

The talk will be about 40 minutes long and following by discussion.

Date: Thursday 18 April 2024

Time: 2.30pm - 3.30pm

Speaker: Gordana Popovic, Statistical Consultant, UNSW Stats Central

Delivery Mode: Online

Meeting Link: See ordered ticket

FAQs

How can I contact the organiser with any questions?

Please send us an email at: stats.central@unsw.edu.au