Sample size calculations for evaluating a diagnostic test when the gold standard is missing at random.
Publication
, Journal Article
Kosinski, AS; Chen, Y; Lyles, RH
Published in: Stat Med
January 30, 2011
Duke Scholars
Published In
Stat Med
DOI
EISSN
1097-0258
Publication Date
January 30, 2011
Volume
30
Issue
2
Start / End Page
200
Location
England
Related Subject Headings
- Statistics & Probability
- Sensitivity and Specificity
- Sample Size
- Reference Standards
- Humans
- Evaluation Studies as Topic
- Diagnostic Tests, Routine
- Data Interpretation, Statistical
- 1117 Public Health and Health Services
- 0104 Statistics
Citation
APA
Chicago
ICMJE
MLA
NLM
Kosinski, A. S., Chen, Y., & Lyles, R. H. (2011). Sample size calculations for evaluating a diagnostic test when the gold standard is missing at random. Stat Med, 30(2), 200. https://doi.org/10.1002/sim.4115
Kosinski, Andrzej S., Ying Chen, and Robert H. Lyles. “Sample size calculations for evaluating a diagnostic test when the gold standard is missing at random.” Stat Med 30, no. 2 (January 30, 2011): 200. https://doi.org/10.1002/sim.4115.
Kosinski AS, Chen Y, Lyles RH. Sample size calculations for evaluating a diagnostic test when the gold standard is missing at random. Stat Med. 2011 Jan 30;30(2):200.
Kosinski, Andrzej S., et al. “Sample size calculations for evaluating a diagnostic test when the gold standard is missing at random.” Stat Med, vol. 30, no. 2, Jan. 2011, p. 200. Pubmed, doi:10.1002/sim.4115.
Kosinski AS, Chen Y, Lyles RH. Sample size calculations for evaluating a diagnostic test when the gold standard is missing at random. Stat Med. 2011 Jan 30;30(2):200.
Published In
Stat Med
DOI
EISSN
1097-0258
Publication Date
January 30, 2011
Volume
30
Issue
2
Start / End Page
200
Location
England
Related Subject Headings
- Statistics & Probability
- Sensitivity and Specificity
- Sample Size
- Reference Standards
- Humans
- Evaluation Studies as Topic
- Diagnostic Tests, Routine
- Data Interpretation, Statistical
- 1117 Public Health and Health Services
- 0104 Statistics