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I don't like odds ratios as effect sizes (and I'm not sure what they mean
in a logistic regression), but I agree with Karl that an odds ratio of 1.09
seems quite small (and the confidence intervals for 1- and 3-year olds went down
to 1.03 and 1.02, respectively). And no p-values? Given this and the
correlational (albeit longitudinal) design of the study, why is it getting so
much media attention? And what's with the kids watching 12-16 hours of TV per
day? I wonder if these outliers contributed to the effect? Is it appropriate to
do logistic regressions when the data are so severely skewed?
Marty Bourgeois
University of Wyoming
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Title: AAP Blame Game Again
- Odds Ratios Karl L. Wuensch
- Martin J. Bourgeois
