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Comparison of approaches for incorporating new information into existing risk prediction models

  • Published:2016-12-11 Issue:7 Volume:36 Page:1134-1156
  • ISSN:0277-6715
  • Container-title:Statistics in Medicine
  • language:en
  • Short-container-title:Statist. Med.

Author:

Grill Sonja1,Ankerst Donna P.12,Gail Mitchell H.3,Chatterjee Nilanjan4,Pfeiffer Ruth M.3

Affiliation:

1. Department of Life Sciences and Mathematics; Technical University Munich; Munich Germany

2. Department of Urology; University of Texas Health Science Center at San Antonio; San Antonio TX U.S.A.

3. National Cancer Institute; Bethesda 20892 Maryland U.S.A.

4. Department of Biostatistics, Bloomberg School of Public Health; Johns Hopkins University; Baltimore MD U.S.A.

Funder

Technical University Munich Women in Science fund

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Reference19 articles.

1. Plan and operation of the NHANES I Epidemiologic Followup Study, 1987;Cox;Vital and Health Statistics Series 1,1992

2. Projecting individualized probabilities of developing breast cancer for white females who are being examined annually;Gail;Journal of the National Cancer Institute,1989

3. A new logistic regression approach for the evaluation of diagnostic test results;Janssens;Medical Decision Making,2005

4. Predicting prostate cancer risk through incorporation of prostate cancer gene 3;Ankerst;The Journal of Urology,2008

5. Estimating the capacity for improvement in risk prediction with a marker;Gu;Biostatistics,2009
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