Study: Assessing the impact of potentially influential observations in weighted logistic regression
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Released: 2015-03-25
The study "Assessing the impact of potentially influential observations in weighted logistic regression" is now available.
This study uses complex survey data to examine how influential observations in logistic regression can have a notable effect on certain aspects of the model fit. The study describes a straightforward algorithm for examining potentially influential observations in complex survey data using SAS software.
The algorithm is then applied to 2005 Canadian Community Health Survey data to identify and examine factors associated with adolescents' use of family physician services.
The study "Assessing the impact of potentially influential observations in weighted logistic regression" is now available as part of The Research Data Centres Information and Technical Bulletin (Catalogue number12-002-X) from the Browse by key resource module of our website under Publications.
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