Literature DB >> 25646367

Letter to the editor concerning 'Do prostate cancer risk models improve the predictive accuracy of PSA screening? A meta-analysis'.

S Carlsson1, M Assel2, A Vickers2.   

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Year:  2015        PMID： 25646367      PMCID： PMC5006146          DOI： 10.1093/annonc/mdv038

Source DB:  PubMed          Journal:  Ann Oncol        ISSN： 0923-7534            Impact factor:   32.976


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  3 in total

1.  Markers for the early detection of prostate cancer: some principles for statistical reporting and interpretation.

Authors:  Andrew J Vickers
Journal:  J Clin Oncol       Date:  2014-11-03       Impact factor: 44.544

Review 2.  Do prostate cancer risk models improve the predictive accuracy of PSA screening? A meta-analysis.

Authors:  K S Louie; A Seigneurin; P Cathcart; P Sasieni
Journal:  Ann Oncol       Date:  2014-11-17       Impact factor: 32.976

3.  Assessing the performance of prediction models: a framework for traditional and novel measures.

Authors:  Ewout W Steyerberg; Andrew J Vickers; Nancy R Cook; Thomas Gerds; Mithat Gonen; Nancy Obuchowski; Michael J Pencina; Michael W Kattan
Journal:  Epidemiology       Date:  2010-01       Impact factor: 4.822
  3 in total
  2 in total

1.  The STHLM3 prostate cancer diagnostic study: calibration, clarification, and comments.

Authors:  Sigrid V Carlsson; Michael W Kattan
Journal:  Nat Rev Clin Oncol       Date:  2016-05-10       Impact factor: 66.675

Review 2.  What's new in screening in 2015?

Authors:  Sigrid V Carlsson; Monique J Roobol
Journal:  Curr Opin Urol       Date:  2016-09       Impact factor: 2.309
  2 in total

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