Handling missing data in Stata-a whirlwind tour

Missing data is a pervasive issue in epidemiological, clinical, social, and economic studies. This presentation offers a brief overview of the conceptual issues raised by missing data, followed by an overview of some of the principled statistical methods of handling missing data that are implemented in Stata 12, including multiple imputation and inverse probability weighting.

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Year of publication:	2012-12-01
Authors:	Bartlett, Jonathan
Institutions:	Stata User Group

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Extent:	application/pdf
Series:	Italian Stata Users' Group Meetings 2012.
Type of publication:	Book / Working Paper
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10010819921