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G21 Two-Day Short Course: Methods for Addressing Missing Data in Health Economic Evaluation at UCL

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G21 Two-Day Short Course: Methods for Addressing Missing Data in Health Economic Evaluation at UCL
Dates of Event
21st September 2017 – 22nd September 2017
Last Booking Date for this Event
20th September 2017
Description

Missing data are ubiquitous in health economic evaluation. The major concern that arises with missing data is that individuals with missing information tend to be systematically different from those with complete data. As a result, cost-effectiveness inferences based on complete cases are often misleading. These concerns face health economic evaluation based on a single study, and studies that synthesise data from several sources in decision models. While accessible, appropriate methods for addressing the missing data are available in most software packages, their uptake in health economic evaluation has been limited.

Taught by academics with extensive expertise in missing data methodology, this course offers an in-depth description of both introductory and advanced methods for addressing missing data in health economic evaluation. The course will combine a mixture of lectures and computer-based exercises, where participant will learn about the relevant statistical concepts and the application of the methods in practice. Participants will engage in practical sessions illustrating how to implement each technique with user-friendly software (Stata®). We welcome participants bringing their own data and problems, and one session is dedicated to discussion of participants' case-studies.

https://www.ucl.ac.uk/dahr/news-events/TwodayshortcourseMethodsforaddressingmissingdatainhealtheconomicevaluation

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