Modified exact sample size for a binomial proportion with special emphasis on diagnostic test parameter estimation

Statistics in Medicine

Volumn 24, Issue 18, 2005, Pages 2857-2866

  Fosgate, Geoffrey T ^a  

^a TEXAS A AND M UNIVERSITY   (United States)

Author keywords

Binomial; Diagnostic test; Exact; Proportion; Sample size

Indexed keywords

ALGORITHM; ARTICLE; BINOMIAL DISTRIBUTION; CALCULATION; COMPUTER PROGRAM; CONFIDENCE INTERVAL; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST; EPIDEMIOLOGICAL DATA; HUMAN; MATHEMATICAL COMPUTING; POPULATION DISTRIBUTION; PROBABILITY; SAMPLE SIZE; SCORING SYSTEM; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; STATISTICAL SIGNIFICANCE; VALIDATION PROCESS;

ALGORITHMS; BIOMETRY; CONFIDENCE INTERVALS; DIAGNOSTIC TECHNIQUES AND PROCEDURES; HUMANS; PREDICTIVE VALUE OF TESTS; REPRODUCIBILITY OF RESULTS; SAMPLE SIZE; SENSITIVITY AND SPECIFICITY;

EID: 25444522228     PISSN: 02776715     EISSN: None     Source Type: Journal    
DOI: 10.1002/sim.2146     Document Type: Article

References (26)

1. Kelsey JL, Whittemore AS, Evans AS, Thompson WD. Methods in Observational Epidemiology (2nd edn). Oxford University Press: New York, 1996; 327-339.
2. Greiner M, Gardner IA. Epidemiologic issues in the validation of veterinary diagnostic tests. Preventive Veterinary Medicine 2000; 45(1-2):3-22.
3. Office International des Epizooties. Manual of standards: Diagnostic Tests and Vaccines 2000, http://www.oie.int/eng/normes/mmanual/a_00013.htm, accessed 10 June 2004.
4. Checkley SL, Waldner CL, Appleyard GD, Campbell JR, Forsythe L, Janzen ED. The comparison of 5 diagnostic tests for diagnosis of Johne's disease in western Canada. The Journal of Applied Research in Veterinary Medicine 2003; 1(3):196-205.
5. Kurabachew M, Enger Ø, Sandaa RA, Skuce R, Bjorvatn B. A multiplex polymerase chain reaction for genus-,group and species-specific detection of mycobacteria. Diagnostic Microbiology and Infectious Disease 2004; 49(2):99-104.
6. Kelley GO, Zagmutt-Vergara FJ, Leutenegger CM, Myklebust KA, Adkison MA, McDowell TS, Marty GD, Kahler AL, Bush AL, Gardner IA, Hedrick RP. Evaluation of five diagnostic methods for the detection and quantification of Myxobolus cerebralis. Journal of Veterinary Diagnostic Investigation 2004; 16(3):202-211.
7. Farcas GA, Zhong KJY, Mazzulli T, Kain KC. Evaluation of the RealArt Malaria LC real-time PCR assay for malaria diagnosis. Journal of Clinical Microbiology 2004; 42(2):636-638.
8. Brown LD, Cai TT, DasGupta A. Interval estimation for a binomial proportion. Statistical Science 2001; 16(2):101-133.
9. Newcombe RG. Two-sided confidence intervals for the single proportion: comparison of seven methods. Statistics in Medicine 1998; 17(8):857-872.
10. White DB, James L. Standard error and sample size determination for estimation of probabilities based on a test variable. Journal of Clinical Epidemiology 1996; 49(4):419-429.
11. Obuchowski N. Sample size calculations in studies of test accuracy. Statistical Methods in Medical Research 1998; 7(4):371-392.
12. Alonzo TA, Pepe MS, Moskowitz CS. Sample size calculations for comparative studies of medical tests for detecting presence of disease. Statistics in Medicine 2002; 21(6):835-852.
13. Knottnerus JA, Muris JW. Assessment of the accuracy of diagnostic tests: the cross-sectional study. Journal of Clinical Epidemiology 2003; 56(11):1118-1128.
14. Clopper CJ, Pearson ES. The use of confidence or fiducial limits illustrated in the case of the binomial. Biometrika 1934; 26(4):404-413.
15. Agresti A, Coull BA. Approximate is better than 'exact' for interval estimation of binomial proportions. The American Statistician 1998; 52(2):119-126.
16. Agresti A. Exact inference for categorical data: recent advances and continuing controversies. Statistics in Medicine 2001; 20(17-18):2709-2722.
17. Agresti A. Dealing with discreteness: making 'exact' confidence intervals for proportions, differences for proportions, and odds ratios more exact. Statistical Methods in Medical Research 2003; 12(1):3-21.
18. Lancaster HO. Significance test in discrete distributions [corrections 57(300):919]. Journal of the American Statistical Association 1961; 56(274):223-234.
19. Berry G, Armitage P. Mid-p confidence intervals: a brief review. Statistician 1995; 44(4):417-423.
20. Vollset SE. Confidence intervals for a binomial proportion. Statistics in Medicine 1993; 12(9):809-824.
21. Compaq Computer Corporation. Compaq Visual Fortran: Professional Edition (version 6.6). Hewlett-Packard Company: Palo Alto, CA, 2002.
22. Centers for Disease Control and Prevention. Epi Info (version 6.04). Epidemiology Program Office, Centers for Disease Control and Prevention (CDC): Atlanta, GA, 1996.
23. Daniel WW. Biostatistics: A Foundation for Analysis in the Health Science (7th edn). Wiley: New York, 1999; 183-184.
24. Wilson EB. Probable inference, the law of succession, and statistical inference. Journal of the American Statistical Association 1927; 22(x):209-212.
25. Fleiss JL, Levin B, Paik MC. Statistical Methods for Rates and Proportions (3rd edn). Wiley: New York, 2003; 26-36.
26. Daniel WW. Biostatistics: A Foundation for Analysis in the Health Science (7th edn). Wiley: New York, 1999; 176-177.