Warning: Undefined array key "mm" in /www/wwwroot/www.ai-bt.com/si.php on line 10 Deprecated: trim(): Passing null to parameter #1 ($string) of type string is deprecated in /www/wwwroot/www.ai-bt.com/si.php on line 10 The STHLM3 prostate cancer diagnostic study: calibration, clarification, and comments.

Literature DB >> 27161937

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

Sigrid V Carlsson¹, Michael W Kattan².

Abstract

Entities: Disease

Mesh：

Substances：

Year: 2016 PMID： 27161937 DOI： 10.1038/nrclinonc.2016.81

Source DB: PubMed Journal: Nat Rev Clin Oncol ISSN： 1759-4774 Impact factor: 66.675

× No keyword cloud information.

5 in total

1. Prostate cancer: Personalized risk - stratified screening or abandoning it altogether?

Authors: Sigrid V Carlsson; Michael W Kattan
Journal: Nat Rev Clin Oncol Date: 2016-02-02 Impact factor: 66.675

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

Authors: S Carlsson; M Assel; A Vickers
Journal: Ann Oncol Date: 2015-02-02 Impact factor: 32.976

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

Authors: Martin Eklund; Henrik Grönberg; Tobias Nordström
Journal: Nat Rev Clin Oncol Date: 2016-05-10 Impact factor: 66.675

4. Testing for improvement in prediction model performance.

Authors: Margaret Sullivan Pepe; Kathleen F Kerr; Gary Longton; Zheyu Wang
Journal: Stat Med Date: 2013-01-07 Impact factor: 2.373

5. 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

5 in total

3 in total

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

1. Prostate cancer: Personalized risk - stratified screening or abandoning it altogether?

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

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

4. Testing for improvement in prediction model performance.

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

Review 1. Prostate cancer screening-when to start and how to screen?

Review 2. Updates in Prostate Cancer Research and Screening in Men at Genetically Higher Risk.

Review 3. Personalized strategies in population screening for prostate cancer.