A measure of the performance of biomarkers for disease

Cancer Biomarkers

Volumn 2, Issue 3-4, 2006, Pages 145-150

  Saunders, Ian W ^a  

^a CSIRO   (Australia)

Author keywords

Biomarker effectiveness; sensitivity; specificity

Indexed keywords

BIOLOGICAL MARKER;

ARTICLE; EPIDEMIOLOGY; EVALUATION; HUMAN; PREDICTION AND FORECASTING; RISK; STATISTICAL ANALYSIS; THEORETICAL MODEL;

BIOLOGICAL MARKERS; DATA INTERPRETATION, STATISTICAL; HUMANS; MODELS, THEORETICAL; ODDS RATIO; PREDICTIVE VALUE OF TESTS; SAMPLING STUDIES;

EID: 39049178486     PISSN: 15740153     EISSN: 18758592     Source Type: Journal    
DOI: 10.3233/CBM-2006-23-406     Document Type: Article

References (7)

1. S.G. Baker, B.S. Kramer and S. Srivastava, Markers for early detection of cancer: statistical guidelines for nested case-control studies, BMC Medical Research Methodology 2:4 (2002), [http://www.biomedcentral.com/1471-2288/2/4/].
2. E. Giovannucci, M.N. Pollak, E.A. Platz, W.C. Willett, M.J. Stampfer, N. Majeed, G.A. Colditz, F.E. Speizer and S.E. Hankinson, A prospective study of plasma insulin-like growth factor-I and binding protein-3 and risk of colorectal neoplasia in women, Cancer Epidemiol. Biomark. Prev. 9 (2000), 345-349.
3. A. Juul, Serum levels of insulin-like growth factor I and its binding proteins in health and disease, Growth Hormone and IGF Research 13 (2003), 113-170.
4. C. Lassarre, F. Duron and M. Binoux, Use of the ligand immunofunctional assay for human insulin-like growth factor (IGF) binding protein-3 (IGFBP-3) to analyze IGFBP-3 proteolysis and IGF-I bioavailability in healthy adults, GH-deficient and acromegalic patients and diabetics, Journal of Clinical Endocrinology and Metabolism 86 (2001), 1942-1952.
5. M.S. Pepe and M.L. Thompson, Combining diagnostic test results to increase accuracy, Biostatistics 1 (2000), 123-140.
6. A.G. Renehan, J.E. Painter, W.S. Atkin, C.S. Potten, S.M. Shalet and S.T. O'Dwyer, High-risk colorectal adenomas and serum insulin-like growth factors, British Journal of Surgery 88 (2001), 107-113.
7. R Development Core Team (2004). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-00-3, URL http://www.R-project.org.