Alternatives for logistic regression in cross-sectional studies: an empirical comparison of models that directly estimate the prevalence ratio
Abstract
Cox or Poisson regression with robust variance and log-binomial regression provide correct estimates and are a better alternative for the analysis of cross-sectional studies with binary outcomes than logistic regression, since the prevalence ratio is more interpretable and easier to communicate to n …
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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270768
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