Simple nomograms to calculate sample size in diagnostic studies

被引:107
作者
Carley, S
Dosman, S
Jones, SR
Harrison, M
机构
[1] Manchester Royal Infirm, Manchester M13 9WL, Lancs, England
[2] Hope Hosp, Salford M6 8HD, Lancs, England
[3] N Staffordshire Hosp, Stoke On Trent, Staffs, England
关键词
D O I
10.1136/emj.2003.011148
中图分类号
R4 [临床医学];
学科分类号
1002 ; 100602 ;
摘要
Objectives: To produce an easily understood and accessible tool for use by researchers in diagnostic studies. Diagnostic studies should have sample size calculations performed, but in practice, they are performed infrequently. This may be due to a reluctance on the part of researchers to use mathematical formulae. Methods: Using a spreadsheet, we derived nomograms for calculating the number of patients required to determine the precision of a test's sensitivity or specificity. Results: The nomograms could be easily used to determine the sensitivity and specificity of a test. Conclusions: In addition to being easy to use, the nomogram allows deduction of a missing parameter ( number of patients, confidence intervals, prevalence, or sensitivity/ specificity) if the other three are known. The nomogram can also be used retrospectively by the reader of published research as a rough estimating tool for sample size calculations.
引用
收藏
页码:180 / 181
页数:2
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