Literature DB >> 24681600

A statistical challenge: developing tests for biomarker utility specific to the intended use.

Steven J Skates1.   

Abstract

Mesh：

Substances：

Year:  2014        PMID： 24681600      PMCID： PMC3982897          DOI： 10.1093/jnci/dju076

Source DB:  PubMed          Journal:  J Natl Cancer Inst        ISSN： 0027-8874            Impact factor:   13.506


× No keyword cloud information.
  5 in total

1.  Net risk reclassification p values: valid or misleading?

Authors:  Margaret S Pepe; Holly Janes; Christopher I Li
Journal:  J Natl Cancer Inst       Date:  2014-03-28       Impact factor: 13.506

2.  Extensions of net reclassification improvement calculations to measure usefulness of new biomarkers.

Authors:  Michael J Pencina; Ralph B D'Agostino; Ewout W Steyerberg
Journal:  Stat Med       Date:  2010-11-05       Impact factor: 2.373

3.  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

4.  Calculation of the risk of ovarian cancer from serial CA-125 values for preclinical detection in postmenopausal women.

Authors:  Steven J Skates; Usha Menon; Nicola MacDonald; Adam N Rosenthal; David H Oram; Robert C Knapp; Ian J Jacobs
Journal:  J Clin Oncol       Date:  2003-05-15       Impact factor: 44.544

5.  Statistical design for biospecimen cohort size in proteomics-based biomarker discovery and verification studies.

Authors:  Steven J Skates; Michael A Gillette; Joshua LaBaer; Steven A Carr; Leigh Anderson; Daniel C Liebler; David Ransohoff; Nader Rifai; Marina Kondratovich; Živana Težak; Elizabeth Mansfield; Ann L Oberg; Ian Wright; Grady Barnes; Mitchell Gail; Mehdi Mesri; Christopher R Kinsinger; Henry Rodriguez; Emily S Boja
Journal:  J Proteome Res       Date:  2013-10-28       Impact factor: 4.466
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.