Abstract:
BACKGROUND:The logistic regression model is being used with increasing frequency in all areas of public health research. In the calendar year 1989, over 30% of the articles published in the American Journal of Public Health employed some form of logistic regression modeling. In spite of this increase, there has been no commensurate increase in the use of commonly available methods for assessing model adequacy. METHODS:We review the current status of the use of logistic regression modeling in the American Journal of Public Health. We present a brief overview of currently available and easily used methods for assessing the adequacy of a fitted logistic regression model. RESULTS:An example is used to demonstrate the methods as well as a few of the adverse consequences of failing to assess the fit of the model. One important adverse consequence illustrated in the example is the inclusion of variables in the model as a result of the influence of one subject. CONCLUSIONS:Failure to address model adequacy may lead to misleading or incorrect inferences. Recommendations are made for the use of methods for assessing model adequacy and for future editorial policy in regard to the review of articles using logistic regression.
journal_name
Am J Public Healthjournal_title
American journal of public healthauthors
Hosmer DW,Taber S,Lemeshow Sdoi
10.2105/ajph.81.12.1630subject
Has Abstractpub_date
1991-12-01 00:00:00pages
1630-5issue
12eissn
0090-0036issn
1541-0048journal_volume
81pub_type
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journal_title:American journal of public health
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