Alternatives for logistic regression in cross-sectional studies: an empirical comparison of models that directly estimate the prevalence ratio

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2003
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Abstract
Cross-sectional studies with binary outcomes analyzed by logistic regression are frequent in the epidemiological literature. However, the odds ratio can importantly overestimate the prevalence ratio, the measure of choice in these studies. Also, controlling ...
Reference Key
hirakata2003bmcalternatives Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Aluísio JD Barros, Vânia N Hirakata;Aluísio JD Barros;Vânia N Hirakata;
Journal BMC medical research methodology
Year 2003
DOI
10.1186/1471-2288-3-21
URL
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC521200
Keywords
National Center for Biotechnology Information NCBI NLM MEDLINE humans pubmed abstract nih national institutes of health national library of medicine logistic models models research support non-u.s. gov't Comparative Study linear models Evaluation Study Proportional Hazards Models odds ratio statistical* prevalence empirical research pmid:14567763 pmc521200 doi:10.1186/1471-2288-3-21 aluísio j d barros vânia n hirakata cross-sectional studies* poisson distribution

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