Résumé :
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[BDSP. Notice produite par INIST 0PR0xgJ9. Diffusion soumise à autorisation]. Epidemiologic and public health researchers frequently include several dependent variables, repeated assessments, or subgroup analyses in their investigations. These factors result in multiple tests of statistical significance and may produce type 1 experimental errors. This study examined the type 1 error rate in a sample of public health and epidemiologic research. A total of 173 articles chosen at random from 1996 issues of the American Journal of Public Health and the American Joumal of Epidemiology were examined to determine the incidence of type 1 errors. Three different methods of computing type 1 error rates were used : experiment-wise error rate, error rate per experiment, and percent error rate. The results indicate a type 1 error rate substantially higher than the traditionally assumed level of 5% (p
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