Literature DB >> 22523441

A sequential conditional probability ratio test procedure for comparing diagnostic tests.

Liansheng Tang1, Ming Tan, Xiao-Hua Zhou.   

Abstract

In this paper, we derive sequential conditional probability ratio tests to compare diagnostic tests without distributional assumptions on test results. The test statistics in our method are nonparametric weighted areas under the receiver-operating characteristic curves. By using the new method, the decision of stopping the diagnostic trial early is unlikely to be reversed should the trials continue to the planned end. The conservatism reflected in this approach to have more conservative stopping boundaries during the course of the trial is especially appealing for diagnostic trials since the end point is not death. In addition, the maximum sample size of our method is not greater than a fixed sample test with similar power functions. Simulation studies are performed to evaluate the properties of the proposed sequential procedure. We illustrate the method using data from a thoracic aorta imaging study.

Entities:  

Year:  2010        PMID: 22523441      PMCID: PMC3331726          DOI: 10.1080/02664763.2010.515678

Source DB:  PubMed          Journal:  J Appl Stat        ISSN: 0266-4763            Impact factor:   1.404


  16 in total

Review 1.  Data monitoring committees and interim monitoring guidelines.

Authors:  B Freidlin; E L Korn; S L George
Journal:  Control Clin Trials       Date:  1999-10

2.  Nonparametric sequential evaluation of diagnostic biomarkers.

Authors:  Aiyi Liu; Chengqing Wu; Enrique F Schisterman
Journal:  Stat Med       Date:  2008-05-10       Impact factor: 2.373

3.  Nonparametric and semiparametric group sequential methods for comparing accuracy of diagnostic tests.

Authors:  Liansheng Tang; Scott S Emerson; Xiao-Hua Zhou
Journal:  Biometrics       Date:  2008-03-27       Impact factor: 2.571

4.  Clinical trial designs based on sequential conditional probability ratio tests and reverse stochastic curtailing.

Authors:  M Tan; X Xiong; M H Kutner
Journal:  Biometrics       Date:  1998-06       Impact factor: 2.571

5.  Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach.

Authors:  E R DeLong; D M DeLong; D L Clarke-Pearson
Journal:  Biometrics       Date:  1988-09       Impact factor: 2.571

6.  The diagnosis of thoracic aortic dissection by noninvasive imaging procedures.

Authors:  C A Nienaber; Y von Kodolitsch; V Nicolas; V Siglow; A Piepho; C Brockhoff; D H Koschyk; R P Spielmann
Journal:  N Engl J Med       Date:  1993-01-07       Impact factor: 91.245

7.  The meaning and use of the area under a receiver operating characteristic (ROC) curve.

Authors:  J A Hanley; B J McNeil
Journal:  Radiology       Date:  1982-04       Impact factor: 11.105

8.  Early decision in clinical trials when the treatment differences are small. Experience of a controlled trial in head trauma.

Authors:  S C Choi; P J Smith; D P Becker
Journal:  Control Clin Trials       Date:  1985-12

9.  Wilcoxon-based group sequential designs for comparison of areas under two correlated ROC curves.

Authors:  Xiao-Hua Zhou; Sierra M Li; Constantine A Gatsonis
Journal:  Stat Med       Date:  2008-01-30       Impact factor: 2.373

10.  Thoracic involvement of type A aortic dissection and intramural hematoma: diagnostic accuracy--comparison of emergency helical CT and surgical findings.

Authors:  Satoru Yoshida; Hidenari Akiba; Mitsuharu Tamakawa; Naoya Yama; Masato Hareyama; Kiyofumi Morishita; Tomio Abe
Journal:  Radiology       Date:  2003-06-20       Impact factor: 11.105

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