Dichotomisation in clinical trials: issues and concerns
*Steven Julious, University of Sheffield Keywords: Dichotomisation; clinical trials If you were to choose a statistical test for an analysis how often would you choose one which massively inflates the sample size to maintain the required power; clouds interpretation and increases by a factor the complexity of the analysis? It would be safe to say not often and yet these are the consequences of categorising a continuous outcome into two categories (dichotomisation). It is wrong on many levels to dichotomise. This presentation will describe consequences and effects of dichotomisation as well as highlight concerns.
|
Key Dates
-
April 30 - May 22, 2013
Invited Abstract Submission Open -
June 4, 2013
Online Registration Opens -
August 9 - August 23, 2013
Invited Abstract Editing -
August 23, 2013
Short Course materials due from Instructors -
August 26, 2013
Housing Deadline -
September 9, 2013
Cancellation Deadline and Registration Closes @ 11:59 pm EDT -
September 16 - September 18, 2013
Marriott Wardman Park, Washington, DC