Literature DB >> 2403604

How many patients are necessary to assess test performance?

C F Arkin1, M S Wachtel.   

Abstract

Test performance characteristics are important in assessing the clinical usefulness of laboratory tests and serve as a basis for comparing one test to another. Statistical comparisons of performance characteristics are meaningful only when they can detect medically important differences; that is, when they provide adequate statistical power. This requires choosing the appropriate sample size in determining the performance characteristics of interest. Using standard formulas, we designed tables that provide such sample size requirements. Example problems of sample size determination in laboratory test comparisons are given. Used appropriately, this approach should result in better studies of laboratory tests and fewer meaningless negative studies.

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Year:  1990        PMID: 2403604

Source DB:  PubMed          Journal:  JAMA        ISSN: 0098-7484            Impact factor:   56.272


  25 in total

1.  Sample size estimation for the sorcerer's apprentice. Guide for the uninitiated and intimidated.

Authors:  J G Ray; M J Vermeulen
Journal:  Can Fam Physician       Date:  1999-07       Impact factor: 3.275

2.  Simple nomograms to calculate sample size in diagnostic studies.

Authors:  S Carley; S Dosman; S R Jones; M Harrison
Journal:  Emerg Med J       Date:  2005-03       Impact factor: 2.740

3.  Predictive ability of positive clinical culture results and International Classification of Diseases, Ninth Revision, to identify and classify noninvasive Staphylococcus aureus infections: a validation study.

Authors:  LaRee A Tracy; Jon P Furuno; Anthony D Harris; Mary Singer; Patricia Langenberg; Mary-Claire Roghmann
Journal:  Infect Control Hosp Epidemiol       Date:  2010-07       Impact factor: 3.254

4.  Real-time polymerase chain reaction for the rapid detection of group B streptococcal colonization in neonates.

Authors:  Girija Natarajan; Yvette R Johnson; Fan Zhang; Kang Mei Chen; Maria J Worsham
Journal:  Pediatrics       Date:  2006-07       Impact factor: 7.124

Review 5.  Protocol Writing in Clinical Research.

Authors:  Azzam Al-Jundi; Salah Sakka
Journal:  J Clin Diagn Res       Date:  2016-11-01

6.  A comment on sample size calculations for binomial confidence intervals.

Authors:  Lai Wei; Alan D Hutson
Journal:  J Appl Stat       Date:  2012-11-05       Impact factor: 1.404

7.  Evaluation of the Glasgow Coma Scale score in critically ill infectious disease patients.

Authors:  B Barsić; E Marton; J Himbele; Z Ravlić
Journal:  Infection       Date:  1996 Jul-Aug       Impact factor: 3.553

8.  An alternative option for "resect and discard" strategy, using magnifying narrow-band imaging: a prospective "proof-of-principle" study.

Authors:  Yoji Takeuchi; Masao Hanafusa; Hiromitsu Kanzaki; Takashi Ohta; Noboru Hanaoka; Sachiko Yamamoto; Koji Higashino; Yasuhiko Tomita; Noriya Uedo; Ryu Ishihara; Hiroyasu Iishi
Journal:  J Gastroenterol       Date:  2015-02-18       Impact factor: 7.527

9.  Unsatisfactory performance of the leukocyte esterase test of first voided urine for rapid diagnosis of urethritis.

Authors:  D M Patrick; M L Rekart; L Knowles
Journal:  Genitourin Med       Date:  1994-06

10.  How to limit the burden of data collection for Quality Indicators based on medical records? The COMPAQH experience.

Authors:  Clément Corriol; Valentin Daucourt; Catherine Grenier; Etienne Minvielle
Journal:  BMC Health Serv Res       Date:  2008-10-21       Impact factor: 2.655

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