Dealing with missing data: Key assumptions and methods for ...
Technical Report No. 4May 6, 2013Dealing 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.
Imputation and Maximum Likelihood using SAS and STATA. The report ends with a summary of other software available for missing data and a list of the useful references that guided this report. Across the report, bear in mind that I will be presenting ‘Second-Best’ solutions to the missing data
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