Methods consideration in the analysis of observational data: a causal inference perspective
View Presentation *Eric Tchetgen Tchetgen, HSPH Keywords: Challenges in the analysis of modern observational studies will be discussed from a causal inference perspective, including confounding bias and selection bias due to loss of follow-up or death. Possible solutions will be briefly discussed including confounding adjustment techniques in complex longitudinal contexts, instrumental variable design and negative control design to account for unobserved confounding and selection bias due to selective mortality.
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Key Dates
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November 1 - December 17, 2013
Online proposal submission for a session, short course and Town Hall Open -
January 6 - March 11, 2014
Online proposal submission for Roundtables Open -
April 30 - May 28, 2014
Abstract Submission Open -
June 4, 2014
Online Registration Opens -
August 8 - August 22, 2014
Invited Abstract Editing -
August 11, 2014
Short Course materials due from Instructors -
September 1, 2014
Housing Deadline -
September 15, 2014
Cancellation Deadline and Registration Closes @ 11:59 pm EDT -
September 22 - September 24, 2014
Marriott Wardman Park, Washington, DC