Simple nomograms to calculate sample size in diagnostic studies

Emergency Medicine Journal

Volumn 22, Issue 3, 2005, Pages 180-181

  Carley, Simon ^a   Dosman, S ^b   Jones, S R ^c   Harrison, M ^a  

^a MANCHESTER ROYAL INFIRMARY   (United Kingdom)

^b Hope Hospital ^*

^c UNIVERSITY HOSPITAL OF NORTH STAFFORDSHIRE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ANALYTIC METHOD; ARTICLE; CALCULATION; CLINICAL PRACTICE; CONFIDENCE INTERVAL; CONTROLLED STUDY; DIAGNOSTIC TEST; MATHEMATICAL ANALYSIS; MEDICAL RESEARCH; NOMOGRAM; PREVALENCE; PRIORITY JOURNAL; RETROSPECTIVE STUDY; SAMPLE SIZE; SENSITIVITY AND SPECIFICITY;

DIAGNOSTIC TECHNIQUES AND PROCEDURES; EVALUATION STUDIES; HUMANS; NOMOGRAMS; RESEARCH DESIGN; SAMPLE SIZE; SENSITIVITY AND SPECIFICITY;

EID: 14944353757     PISSN: 14720205     EISSN: None     Source Type: Journal    
DOI: 10.1136/emj.2003.011148     Document Type: Article

References (4)

1. Jones S, Carley S, Harrison M. An introduction to power and sample size estimation. Emerg Med J 2003;20:453-8.
2. Gore SM ADG. How large a sample. In: Gore SM ADG, eds. Statistics in practice. London: BMJ Publishing, 2001.
3. Buderer NM. Statistical methodology: I. Incorporating the prevalence of disease into the sample size calculation for sensitivity and specificity. Acad Emerg Med 1996;3:895-900.
4. Arkin CF, Wachtel MS. How many patients are necessary to assess test performance. JAMA 1990;263:275-8.