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Dealing with missing data: Key assumptions and methods …

Technical Report No. 4 May 6, 2013 Dealing with missing data : Key assumptions andmethods for applied analysisMarina paper was published in fulfillment of the requirements for PM931 Directed Study in Health Policy and Managementunder Professor Cindy Christiansen s direction. Michal Horn y, Jake Morgan, Kyung Min Lee, and Meng-YunLin provided helpful reviews and 1 Contents Executive Summary .. 2 Acronyms .. 3 1. Introduction .. 4 2. missing data mechanisms .. 5 3. Patterns of 6 4. methods for handling missing data .. 6 Conventional methods .

Dealing with missing data: Key assumptions and methods for applied analysis Marina Soley-Bori ... Missing data is a problem because nearly all standard statistical methods presume complete information for ... and then testing a difference in mean age. If we fail to reject the null hypothesis,

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