1992
DOI: 10.2214/ajr.159.3.1503041
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Strategies for improving power in diagnostic radiology research.

Abstract: Research studies in diagnostic radiology often compare the diagnostic abilities of two imaging techniques.The "'power" of such studies is the probability that they will detect a difference in abilities of a certain amount when, indeed, such a difference does exist. This article outlines several strategies that can be used to assess and improve the power of radiologic diagnostic studies. These strategies include selection of cases and controls, matching, use of one-tailed tests, selection of significance level,… Show more

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Cited by 54 publications
(26 citation statements)
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“…The sample size was calculated as 203 people examined. 15,16 Given a population prevalence of PsA in people with psoriasis of 15-40% it was estimated that a total of up to 1360 people would have to be screened to give sufficient positive responders for this study. For people examined, results are given by number with true positive, false positive, true negative and false negative test results.…”
Section: Sample Size and Statistical Methodsmentioning
confidence: 99%
“…The sample size was calculated as 203 people examined. 15,16 Given a population prevalence of PsA in people with psoriasis of 15-40% it was estimated that a total of up to 1360 people would have to be screened to give sufficient positive responders for this study. For people examined, results are given by number with true positive, false positive, true negative and false negative test results.…”
Section: Sample Size and Statistical Methodsmentioning
confidence: 99%
“…19 Sample size calculations can also be performed using this method (Appendix 1). [19][20][21][22] Calculations used a paired-study design (single-lead electrocardiogram and blood pressure device compared separately with pulse-check) with a 2-sided α of 0.025 for multiple compari-…”
Section: Discussionmentioning
confidence: 99%
“…The correct sample size was estimated following a method for paired diagnostic tests (27,28). The probable difference in the sensitivity and the specificity between the two assays was assumed based on a previous meta-analysis (14), and an 80% power was chosen to identify the disagreement.…”
Section: Methodsmentioning
confidence: 99%