Comparison of the performance of cumulative meta-analytical methods with rare events
View Presentation *Xiao Ding, Merck & Co., Inc. Keywords: cumulative meta-analysis Because of multiple comparisons, regular meta-analysis statistics can not maintain the correct type 1 error rate in the cumulative meta-analysis setting. The cumulative meta-analysis using the law of iterated logarithm (LIL) is proposed by Lan et al to maintain the type 1 error rate, primarily for efficacy endpoints. Simulations are conducted to exam the performance of cumulative meta-analytical methods, including LIL, for safety endpoint with rare events.
|
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