Lessons in Disaster: How Can We Learn From Data Analysis Failures?
Roger Peng,听Johns Hopkins University
Tuesday November 10, 12-1pm
Zoom Link:听https/mcgill.zoom.us/j/91589192037
Abstract:听The details of data analysis failures are often not publicly observable, making it difficult to develop a systematic understanding of how failures occur and听how they can be prevented in the future. Most published analyses barely provide sufficient details of successful analyses, much less any failures.听Reproducible research is a concept that has been promoted as a way to increase transparency in analysis, however it is not clear what value it has in听preventing failure. I will describe methodology that we can employ to develop generalizable knowledge about data analytic failures and allow others to听learn from unexpected outcomes. I will also discuss some case studies of widely publicized data analysis failures and attempt to distill what, if any,听lessons we can take from these cases to improve future analyses.
听
听
