Trust the Statisticians

Research designs and the required statistical analyses are getting
more and more complicated. It is becoming increasingly common for
researchers to consult with statisticians to analyze their data.
This can create an issue where the lead researcher on a project
does not know how to run the analysis they describe in their papers
and presentations. In this episode we discuss whether the lead
researcher has an obligation to know how to run, interpret, and
describe the analyses in their research projects. Smith raises
concerns and potential issues with relying on someone to run the
analyses without being able to double check for accuracy. Wingrove
and Holden argue that we should trust the statisticians to do their
job. Marginally Significant is hosted by: Andrew Smith
@andrewrsmith (https://twitter.com/AndrewRSmith) Twila Wingrove
@twilawingrove (https://twitter.com/TwilaWingrove) Andrew Monroe
@monroeandrew (https://twitter.com/MonroeAndrew) Chris Holden
@profcjholden (https://twitter.com/profcjholden) You can contact
Marginally Significant on Twitter (@marginallysig
(https://twitter.com/MarginallySig)), through email
(marginallysig@gmail.com), or on the web
(marginallysignificant.fireside.fm/contact
(https://marginallysignificant.fireside.fm/contact)).