Literature DB >> 19097251

Conditional estimation of sensitivity and specificity from a phase 2 biomarker study allowing early termination for futility.

Margaret Sullivan Pepe1, Ziding Feng, Gary Longton, Joseph Koopmeiners.   

Abstract

Development of a disease screening biomarker involves several phases. In phase 2 its sensitivity and specificity is compared with established thresholds for minimally acceptable performance. Since we anticipate that most candidate markers will not prove to be useful and availability of specimens and funding is limited, early termination of a study is appropriate, if accumulating data indicate that the marker is inadequate. Yet, for markers that complete phase 2, we seek estimates of sensitivity and specificity to proceed with the design of subsequent phase 3 studies. We suggest early stopping criteria and estimation procedures that adjust for bias caused by the early termination option. An important aspect of our approach is to focus on properties of estimates conditional on reaching full study enrollment. We propose the conditional-UMVUE and contrast it with other estimates, including naïve estimators, the well-studied unconditional-UMVUE and the mean and median Whitehead-adjusted estimators. The conditional-UMVUE appears to be a very good choice. Copyright (c) 2008 John Wiley & Sons, Ltd.

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Year:  2009        PMID: 19097251      PMCID: PMC2745932          DOI: 10.1002/sim.3506

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  7 in total

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Journal:  Stat Med       Date:  2003-03-15       Impact factor: 2.373

  7 in total
  16 in total

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Journal:  Stat Med       Date:  2012-10-02       Impact factor: 2.373

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Authors:  Joseph S Koopmeiners; Ziding Feng; Margaret Sullivan Pepe
Journal:  Stat Med       Date:  2012-01-12       Impact factor: 2.373

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Journal:  J Transl Med       Date:  2009-06-17       Impact factor: 5.531

10.  Adding Rigor to Biomarker Evaluations-EDRN Experience.

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Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2020-11-10       Impact factor: 4.254

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