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Dear All,

In 2010, the National Research Council (NRC) issued the report: "The Prevention and Treatment of Missing Data in Clinical Trials." This report, commissioned by the FDA, provides 18 recommendations. Since inference in the presence of missing datea requires untestable assumptions, Recommendation 15 states: "Sensitivity analyses should be part of the primary reporting of findings from clinical trials. Examining sensitivity to the assumptions about the missing data mechanism should be a mandatory component of reporting." This recommendation is echoed in the Patient Centered Outcomes Research Institute's (PCORI) Methodology Report (see Standard MD-5). In this workshop:

• We will focus on repeated measures studies with dropout.

• We will present a global sensitivity analysis methodology for comparing treatment groups with respect to the mean outcome scheduled to be measured at the final visit.
  

• We will discuss a recently developed semi-parametric approach and associated freely available, open source software (available at www.missingdatamatters.org - please request an account).

• We will present detailed case studies to illustrate the methodology. 

A link to course notes will be made available prior to the workshop.

Audience: PCORI researchers, clinical trialists, and statisticians. Audience should have at least Master's level training in statistics.

Date: January 12, 2015
Location: Johns Hopkins Bloomberg School of Public Health, Baltimore MD 21205
Fees: $250 for regular registration; $150 for PCORI grant awardees (for awardee-sponsored statisticians) and FDA statisticians.
Registration Website: http://www.eventzilla.net/web/event?eventid=2139054537