A Bayesian scoring rule on clustered event data for familial risk assessment - An example from colorectal cancer screening-Reference-Cited by-同舟云学术

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A Bayesian scoring rule on clustered event data for familial risk assessment - An example from colorectal cancer screening

Published:2017-11-08 Issue:1 Volume:60 Page:115-127
ISSN:0323-3847
Container-title:Biometrical Journal
language:en
Short-container-title:Biom. J.

Author:

Rieger Anna K.¹^ORCID,Mansmann Ulrich R.¹

Affiliation:

1. Institute for Medical Information Sciences; Biometry and Epidemiology (IBE); Ludwig-Maximilians-Universität München; München Germany

Funder

Federal Ministry for Family Affairs, Senior Citizens, Women and Youth (Bundesministerium für Familie, Senioren, Frauen und Jugend) of Germany

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,General Medicine,Statistics and Probability

Reference27 articles.

1. Boyle , P. Levin , B. 2008 World cancer report 2008

2. Family history and age at initiation of colorectal cancer screening;Brenner;American Journal of Gastroenterology,2008

3. Relative and absolute risk of colorectal cancer for individuals with a family history: A meta-analysis;Butterworth;European Journal of Cancer,2006

4. Modelling Survival Data in Medical Research

5. Comparing the areas under two or more correlated receiver operating characteristic curves: A nonparametric approach;DeLong;Biometrics,1988

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1. Colorectal cancer screening for persons with a positive family history;Deutsches Ärzteblatt international;2023-11-17

2. Comparison of Four Data Mining Algorithms for Predicting Colorectal Cancer Risk;Journal of Advances in Medical and Biomedical Research;2021-02-01

3. Evidenced-Based Screening Strategies for a Positive Family History;Gastrointestinal Endoscopy Clinics of North America;2020-07

4. Evaluating the effects of a risk-adapted screening program for familial colorectal cancer in individuals between 25 and 50 years of age: study protocol for the prospective population-based intervention study FARKOR;BMC Gastroenterology;2020-05-05

5. Use of detailed family history data to improve risk prediction,with application to breast cancer screening;PLOS ONE;2019-12-17

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