JSM 2005 Online Program

Abstract #303830

This is the preliminary program for the 2005 Joint Statistical Meetings in Minneapolis, Minnesota. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2005); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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Legend:

= Applied Session,

= Theme Session,

= Presenter

Activity Number:	323
Type:	Contributed
Date/Time:	Tuesday, August 9, 2005 : 2:00 PM to 3:50 PM
Sponsor:	Biopharmaceutical Section
Abstract - #303830
Title:	Does Imputation Help Your Power?
Author(s):	John Johnson*+
Companies:	Rho, Inc.
Address:	6330 Quadrangle Drive, Chapel Hill, NC, 27517, United States
Keywords:
Abstract:	Imputation is a popular way to cope with missing data. The idea is that the effect of dropout on power will be mitigated, but estimates will be biased. This work explores the impact of several popular and unusual imputation methods on Type-I and -II errors and compares them to complete case analysis.

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