Semi-parametric estimation of the binormal ROC curve for a continuous diagnostic test Journal Article
| Authors: | Cai, T.; Moskowitz, C. S. |
| Article Title: | Semi-parametric estimation of the binormal ROC curve for a continuous diagnostic test |
| Abstract: | Not until recently has much attention been given to deriving maximum likelihood methods for estimating the intercept and slope parameters from a binormal ROC curve that assesses the accuracy of a continuous diagnostic test. We propose two new methods for estimating these parameters. The first method uses the profile likelihood and a simple algorithm to produce fully efficient estimates. The second method is based on a pseudo-maximum likelihood that can easily accommodate adjusting for covariates that could affect the accuracy of the continuous test. © Oxford University Press 2004; all rights reserved. |
| Keywords: | methodology; diagnostic accuracy; classification; ca 19-9 antigen; algorithms; prostatic neoplasms; standard; blood; algorithm; screening; prostate tumor; computer simulation; ca 125 antigen; ca-125 antigen; diagnostic test; statistical model; roc curve; ca-19-9 antigen; likelihood functions; diagnostic tests, routine; maximum likelihood; humans; human; male; article; semi-parametric transformation model |
| Journal Title: | Biostatistics |
| Volume: | 5 |
| Issue: | 4 |
| ISSN: | 1465-4644 |
| Publisher: | Oxford University Press |
| Date Published: | 2004-10-01 |
| Start Page: | 573 |
| End Page: | 586 |
| Language: | English |
| DOI: | 10.1093/biostatistics/kxh009 |
| PROVIDER: | scopus |
| PUBMED: | 15475420 |
| DOI/URL: | |
| Notes: | Biostatistics -- Cited By (since 1996):24 -- Export Date: 16 June 2014 -- Source: Scopus |
