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Harvard Biostatistics Multiple Lecture Courses

Missing data

Missing Data

Source: Ware JH, Harrington D, Hunter DJ, D'Agostion RB. Missing Data. N Engl J Med 2012; 367:1353-1354.

How to access: This is accessible via Harvard library

Contents: The statistical consultants to the Journal provide guidance on missing data in reports submitted for publication.

Example(s) used in this: No specific examples

Prior math/stat knowledge to fully understand materials: None

Missing Data: How to Best Account for What Is Not Known

Source: Newgard CD, Lewis RJ. Missing DataHow to Best Account for What Is Not Known. JAMA. 2015;314(9):940–941. doi:10.1001/jama.2015.10516

How to access: This is accessible via Harvard library

Contents: Good discussion of mechanisms of missing data and available techniques for handling, but simplistic recommendation

Example(s) used in this: No specific examples

Prior math/stat knowledge to fully understand materials: None

Multiple Imputation: A Flexible Tool for Handling Missing Data

Source: Li P, Stuart EA, Allison DB. Multiple Imputation: A Flexible Tool for Handling Missing Data. JAMA. 2015;314(18):1966 -- 1967. doi:10.1001/jama.2015.15281

How to access: This is accessible via Harvard library

Contents: This introduces multiple imputation technique and how to handle missing data with it. References at the end would be also useful as a good launching point.

Example(s) used in this: No specific examples

Prior math/stat knowledge to fully understand materials: None