Alternatives for logistic regression in cross-sectional studies: an empirical comparison of models
نویسندگان
چکیده
line 13: Instead of "bivariate level analysis" I believe that "multivariate analysis" would be more suitable. I would "bivariate" instead of "univariate". Response This has been revised accordingly Comment Abstract In the methodology, I suggest using "alpha value was set to 5%" instead of "P < 0.05 was used..." Response Changed to " An alpha value of 5% was used to indicate significance of variables. “instead of "P < 0.05 was used...” Comment Background: several typos (line 10-11). Response Typos corrected accordingly Comment Background: missing comma (line 27) Response
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Alternatives for logistic regression in cross-sectional studies: an empirical comparison of models that directly estimate the prevalence ratio
BACKGROUND 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 for confounding is not equivalent for the two measures. In this paper we explore alternatives for modeling data of such studies ...
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