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Missing Data - implications for outcomes research and strategies to maximise data integrity

conference contribution
posted on 2008-01-01, 00:00 authored by C Martin, M Reaney, J Speight
he workshop will firstly provide an overview of the problems associated with missing data within the context of clinical trials and how to minimise these. Missing data will be explored by modeling the impact on a number of datasets. This approach will be invaluable in highlighting how alternative methods for controlling for missing data impact differentially on the interpretation of study findings. Popular strategies involve options based on an assessment of the percentage of missing data. More innovative approaches to the management of missing data (e.g. based upon reliability analyses) will be explored and evaluated and the role of the most popular methods of data management explored in several study designs beyond those of the classic randomised controlled trial. Participants will have the opportunity to appraise and debate existing methods of missing data handling.

History

Event

Annual European Congress (11th : 2008 : Athens, Greece)

Publisher

International Society for Pharmacoeconomics and Outcomes Research

Location

Athens, Greece

Start date

2008-11-08

End date

2008-11-11

Language

eng

Publication classification

E2.1 Full written paper - non-refereed / Abstract reviewed

Copyright notice

2008, ISPOR

Title of proceedings

ISPOR 2008 : Moving and Improving Concepts & Evidence for Health Care Decisions : 11th Annual European Congress

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