Literature DB >> 21643476

Variance computations for functional of absolute risk estimates.

R M Pfeiffer1, E Petracci.   

Abstract

We present a simple influence function based approach to compute the variances of estimates of absolute risk and functions of absolute risk. We apply this approach to criteria that assess the impact of changes in the risk factor distribution on absolute risk for an individual and at the population level. As an illustration we use an absolute risk prediction model for breast cancer that includes modifiable risk factors in addition to standard breast cancer risk factors. Influence function based variance estimates for absolute risk and the criteria are compared to bootstrap variance estimates.

Entities:  

Year:  2011        PMID： 21643476      PMCID： PMC3105901          DOI： 10.1016/j.spl.2011.02.002

Source DB:  PubMed          Journal:  Stat Probab Lett        ISSN： 0167-7152            Impact factor:   0.870


  6 in total

1.  Standard errors for attributable risk for simple and complex sample designs.

Authors:  Barry I Graubard; Thomas R Fears
Journal:  Biometrics       Date:  2005-09       Impact factor: 2.571

2.  Estimation of absolute risk from nested case-control data.

Authors:  B Langholz; O Borgan
Journal:  Biometrics       Date:  1997-06       Impact factor: 2.571

3.  Risk factor modification and projections of absolute breast cancer risk.

Authors:  Elisabetta Petracci; Adriano Decarli; Catherine Schairer; Ruth M Pfeiffer; David Pee; Giovanna Masala; Domenico Palli; Mitchell H Gail
Journal:  J Natl Cancer Inst       Date:  2011-06-24       Impact factor: 13.506

4.  Methods of inference for estimates of absolute risk derived from population-based case-control studies.

Authors:  J Benichou; M H Gail
Journal:  Biometrics       Date:  1995-03       Impact factor: 2.571

5.  Estimating the population attributable risk for multiple risk factors using case-control data.

Authors:  P Bruzzi; S B Green; D P Byar; L A Brinton; C Schairer
Journal:  Am J Epidemiol       Date:  1985-11       Impact factor: 4.897

6.  Projecting individualized probabilities of developing breast cancer for white females who are being examined annually.

Authors:  M H Gail; L A Brinton; D P Byar; D K Corle; S B Green; C Schairer; J J Mulvihill
Journal:  J Natl Cancer Inst       Date:  1989-12-20       Impact factor: 13.506
  6 in total
  2 in total

1.  Estimation of Absolute Risk of Colorectal Cancer Based on Healthy Lifestyle, Genetic Risk, and Colonoscopy Status in a Population-Based Study.

Authors:  Prudence R Carr; Korbinian Weigl; Dominic Edelmann; Lina Jansen; Jenny Chang-Claude; Hermann Brenner; Michael Hoffmeister
Journal:  Gastroenterology       Date:  2020-03-14       Impact factor: 22.682

2.  Implications of Lifestyle Factors and Polygenic Risk Score for Absolute Risk Prediction of Colorectal Neoplasm and Risk-Adapted Screening.

Authors:  Hongda Chen; Li Liu; Ming Lu; Yuhan Zhang; Bin Lu; Ying Zhu; Jianbo Tian; Xinying Li; Shaofa Nie; Xiaoping Miao; Min Dai
Journal:  Front Mol Biosci       Date:  2021-07-16
  2 in total

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