The table 2 fallacy: presenting and interpreting confounder and modifier coefficients

It is common to present multiple adjusted effect estimates from a single model in a single table. For example, a table might show odds ratios for one or more exposures and also for several confounders from a single logistic regression. This can lead to mistaken interpretations of these estimates. We...

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Bibliographic Details
Published in:	American journal of epidemiology Vol. 177; no. 4; p. 292
Main Authors:	Westreich, Daniel, Greenland, Sander
Format:	Journal Article
Language:	English
Published:	United States 15.02.2013
Subjects:	Confounding Factors (Epidemiology) Epidemiologic Studies HIV Infections - epidemiology HIV Seropositivity - complications HIV Seropositivity - epidemiology Humans Logistic Models Mathematical Computing Multivariate Analysis North Carolina - epidemiology Odds Ratio Regression Analysis Risk Assessment Risk Factors Smoking - adverse effects Statistics as Topic Stroke - epidemiology Stroke - etiology Violence - statistics & numerical data Work - statistics & numerical data North Carolina
ISSN:	1476-6256, 1476-6256
Online Access:	Get more information
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