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Event Details
NOTE: ADVANCE REGISTRATION REQUIRED
Dr. Nicholas Horton
Smith College
A 90 minute Workshop
Lunch will be provided
Abstract
Missing data arise in almost all real-world situations, and can cause
bias or lead to inefficient analyses. The development of statistical
methods to address missingness has been actively pursued in recent
years. In this talk, I will (1) address complications in observational
studies when there are many patterns of missing values for categorical
and continuous predictors as well as (2)discuss issues in implementing
analyses that are consistent withthe intention to treat principle in
randomized trials and (3) demonstrate how these methods can be
implemented through detailed discussion of examples.
Location
7th Floor Conference Room, Access Building
Dept. of Quantitative Health Sciences
University of Massachusetts Medical School,
55 Lake Ave, Worcester, MA
When & Where
UMASS Medical School: Dept. of Quantitative Health Sciences
55 Lake Ave
7th Floor Conference Room, Access Building
Worcester,
MA
Thursday, June 10, 2010 from 12:00 PM to 1:30 PM (ET)
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Hosted By
Boston Chapter of the American Statistical Association
