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The International Journal of Biostatistics

Ed. by Chambaz, Antoine / Hubbard, Alan E. / van der Laan, Mark J.

IMPACT FACTOR 2017: 0.840
5-year IMPACT FACTOR: 1.000

CiteScore 2017: 0.97

SCImago Journal Rank (SJR) 2017: 1.150
Source Normalized Impact per Paper (SNIP) 2017: 1.022

Mathematical Citation Quotient (MCQ) 2016: 0.09

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Cut-Off Estimation and Medical Decision Making Based on a Continuous Prognostic Factor: The Prediction of Kidney Graft Failure

Yohann Foucher / Magali Giral / Jean-Paul Soulillou / Jean-Pierre Daurès
Published Online: 2012-01-06 | DOI: https://doi.org/10.2202/1557-4679.1215

The determination of a cut-off value for a continuous prognostic test is an important problem, which is statistically challenging and practically important for risk assessment. We propose in this paper a method to estimate the optimal cut-off from this type of longitudinal data with censored failure times. The principle is to combine the prognostic error rates of false positives and false negatives with a cost function, which has the advantages to be statistically convenient and to be directly associated with the decision-making. Simulations were performed and the results demonstrate the interest of our approach compared to a reference method. The method is also illustrated by predicting the long-term survival of kidney transplant recipients from the 1-year creatinine clearance.

Keywords: cut-off estimation; censored data; prognostic test; decision-making; cost function

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Published Online: 2012-01-06

Citation Information: The International Journal of Biostatistics, Volume 8, Issue 1, Pages 1–13, ISSN (Online) 1557-4679, DOI: https://doi.org/10.2202/1557-4679.1215.

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