Title |
Assessing the agreement of biomarker data in the presence of left-censoring
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Published in |
BMC Nephrology, September 2014
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DOI | 10.1186/1471-2369-15-144 |
Pubmed ID | |
Authors |
Uthumporn Domthong, Chirag R Parikh, Paul L Kimmel, Vernon M Chinchilli, the Assessment, Serial Evaluation, and Subsequent Sequelae of Acute Kidney Injury (ASSESS-AKI) Consortium |
Abstract |
In many clinical biomarker studies, Lin's concordance correlation coefficient (CCC) is commonly used to assess the level of agreement of a biomarker measured under two different conditions. However, measurement of a specific biomarker typically cannot provide accurate numerical values below the lower limit of detection (LLD) of the assay, which results in left-censored data. Most researchers discard the data below the LLD or apply simple data imputation methods in the presence of left-censored data, such as replacing values below the LLD with a fixed number less than or equal to the LLD. This is not statistically optimal, because it often leads to biased estimates and overestimates the precision. |
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