An Examination of a Decision Procedure - download pdf or read online
By F.C. Oglesby
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Extra resources for An Examination of a Decision Procedure
They point out that there is little increase in power to be gained by increasing the number of categories beyond ﬁve. Julious and Campbell (1996) discuss some practical issues when determining sample size in this context. 1. We will assume the distribution of children in the control group was anticipated to be about the same as found previously. 272. 197. 98 or approximately 4. 1. 3944. 8671 and QParacet,4 = 1. 1329. 2564 respectively. 9092. 8416. 849. 95 or approximately 27. The planned total study size is therefore N = 2 × 27 = 54 or approximately 60 patients.
This example underlines the need for the planning team to consider the anticipated effect size carefully as it has a profound effect on the ultimate study size. 4 b one proportion knownbsample size The rate of wound infection over 1 year in an operating theatre was 10%. This ﬁgure has been conﬁrmed from several other operating theatres with the same scrub-up preparation. If an investigator wishes to test the efﬁcacy of a new scrub-up preparation, how many operations does he need to examine in order to be 90% conﬁdent that the new procedure only produces a 5% infection rate?
It also means that one can use the anticipated OR from any pair of adjacent categories for planning purposes. If the number of categories is large, it is clearly difﬁcult to postulate the proportion of subjects who would fall into a given category. 2 depends only on the number of categories, κ, concerned. In which case, Γ = 1 − 1/κ 2. For example, if κ = 3, and with all Yi approximating 1/3, Γ = 1 − (1/3)2 = 8/9. (ii) κ > 5 If the number of categories exceeds ﬁve, then Γ is approximately unity so that m≈ 6(z1−α /2 + z1− β )2 (log OR)2 .