The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Requirements for Minimum Sample Size for Sensitivity and Specificity Analysis
Open accessAbstract
Sensitivity and specificity analysis is commonly used for screening and diagnostic tests. The main issue researchers face is to determine the sufficient sample sizes that are related with screening and diagnostic studies. Although the formula for sample size calculation is available but concerning majority of the researchers are not mathematicians or statisticians, hence, sample size calculation might not be easy for them. This review paper provides sample size tables with regards to sensitivity and specificity analysis. These tables were derived from formulation of sensitivity and specificity test using Power Analysis and Sample Size (PASS) software based on desired type I error, power and effect size. The approaches on how to use the tables were also discussed.
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Cites
Using the Berlin Questionnaire To Identify Patients at Risk for the Sleep Apnea Syndrome
Netzer, N. C., Stoohs, R. A., Netzer, C. M., Clark, K., & Strohl, K. P. (1999) · Annals of Internal Medicine · doi:10.7326/0003-4819-131-7-199910050-00002 · Cited by 2,973
Law, M., Yang, S., Wang, H., Babb, J. S., Johnson, G., Cha, S., Knopp, E. A., & Zagzag, D. (2003) · PubMed Central · Cited by 1,084
Likelihood ratios with confidence: Sample size estimation for diagnostic test studies
Simel, D. L., Samsa, G. P., & Matchar, D. B. (1991) · Journal of Clinical Epidemiology · doi:10.1016/0895-4356(91)90128-v · Cited by 932
Buderer, N. M. F. (1996) · Academic Emergency Medicine · doi:10.1111/j.1553-2712.1996.tb03538.x · Cited by 921
ECHOCARDIOGRAPHY IN DIAGNOSIS OF AORTIC DISSECTION
Stanton, A., Casey, M., O'Brien, E., & Erbel, R. (1989) · The Lancet · doi:10.1016/s0140-6736(89)92777-3 · Cited by 496
Enøe, C., Georgiadis, M. P., & Johnson, W. O. (2000) · Preventive Veterinary Medicine · doi:10.1016/s0167-5877(00)00117-3 · Cited by 485
Screening for depression in primary care with two verbally asked questions: cross sectional study
Arroll, B., Khin, N., & Kerse, N. (2003) · BMJ · doi:10.1136/bmj.327.7424.1144 · Cited by 479
Nori, S., Rius-Díaz, F., Cuevas, J., Goldgeier, M., Jaen, P., Torres, A., & González, S. (2004) · Journal of the American Academy of Dermatology · doi:10.1016/j.jaad.2004.06.028 · Cited by 364
Revised Estimates of Diagnostic Test Sensitivity and Specificity in Suspected Biliary Tract Disease
Shea, J. A. (1994) · Archives of Internal Medicine · doi:10.1001/archinte.154.22.2573 · Cited by 342
Baeres, M., Herkel, J., Czaja, A. J., Wies, I., Kanzler, S., Cançado, E. L. R., Porta, G., Nishioka, M., Simon, T., Dähnrich, C., et al. (2002) · Gut · doi:10.1136/gut.51.2.259 · Cited by 183
Cited by
Marlow, M., Servili, C., & Tomlinson, M. (2019) · Autism Research · doi:10.1002/aur.2033 · Cited by 164
Mei, X. X., Wang, H. Y., Wu, X. N., Wu, J. Y., Lu, Y. Z., & Ye, Z. J. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.779986 · Cited by 75
Peng, L., Luo, G., Walker, A., Zaiman, Z., Jones, E. K., Gupta, H., Kersten, K., Burns, J. L., Harle, C. A., Magoc, T., et al. (2022) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocac188 · Cited by 36
Leung, Y. W., Ng, S., Duan, L., Lam, C., Chan, K., Gancarz, M., Rennie, H., Trachtenberg, L., Chan, K. P., Adikari, A., et al. (2023) · JMIR Cancer · doi:10.2196/40113 · Cited by 12
“The AICF development details are shown in Multimedia Appendix 1 [6-25].”
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Juge, A. E., Hall, N. J., Richeson, J. T., & Daigle, C. L. (2022) · Frontiers in Veterinary Science · doi:10.3389/fvets.2022.902151 · Cited by 7
Metadata
- Authors
- Bujang, M. A.
- Venue
- JOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH
- Publisher
- JCDR Research and Publications
- Published
- 2016
- Volume
- 10
- Issue
- 10
- Pages
- YE01-YE06
- ISSN
- 0973-709X (ISSN-L)
- 2249-782X
- OpenAlex
- W2557371741
- Cited by
- 624
- References
- 11
- FWCI
- 23.37
- Type
- journal article
- Language
- en
- Open access
- gold
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