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Standard errors for proportions

So far we have considered standard errors associated with means and differences between means. When dealing with binary data and proportions different formulas apply. [Pg.38]

In Section 2.2.4 we let r denote a proportion in the sample, and 0 the corresponding proportion in the population. For a single proportion r the standard error formula is (1 — r)/n where n is the number of subjects in the sample. [Pg.38]

For the difference between two proportions, for example if we are looking at the difference — t2 between the cure rate in the active group (group 1) and the cure rate in the placebo group (group 2), the standard error formula is /rl (1 — r jn - - r2 (1 — rj)ln2 where i and are the numbers of subjects in groups 1 and 2 respectively. [Pg.38]


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