Literature DB >> 890675

The combined effect of breast cancer risk factors.

V T Farewell.   

Abstract

An extension of the logistic model (Cox, 1970) is applied to the prospective study of breast cancer in Guernsey (Bulbrook and Hayward, 1967). Four important risk factors, age at menarche, family history, age at first birth and etiocholanolone excretion, are identified and shown to have additive effects on a logistic scale for the probability of developing breast cancer. The feasibility of screening a high risk group of women is considered and shown unlikely to be of practical value.

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Year:  1977        PMID: 890675     DOI: 10.1002/1097-0142(197708)40:2<931::aid-cncr2820400251>3.0.co;2-y

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  15 in total

1.  Incidence trends of female breast cancer in Saskatchewan, 1932-1990.

Authors:  P P Wang; Y Cao
Journal:  Breast Cancer Res Treat       Date:  1996       Impact factor: 4.872

2.  Risk factors for breast cancer with applications to selection for the prevalence screen.

Authors:  F E Alexander; M M Roberts; A Huggins
Journal:  J Epidemiol Community Health       Date:  1987-06       Impact factor: 3.710

3.  Selective screening: theory and practice based on high-risk groups of cervical cancer.

Authors:  M Hakama; E Pukkala; P Saastamoinen
Journal:  J Epidemiol Community Health       Date:  1979-12       Impact factor: 3.710

Review 4.  The menopause and breast cancer.

Authors:  F E Alexander; M M Roberts
Journal:  J Epidemiol Community Health       Date:  1987-06       Impact factor: 3.710

5.  Gene-environment interaction and public health.

Authors:  R Ottman
Journal:  Am J Hum Genet       Date:  1995-04       Impact factor: 11.025

6.  Corpus luteum dysfunction and the epidemiology of breast cancer: a reconsideration.

Authors:  B M Sherman; R B Wallace; S G Korenman
Journal:  Breast Cancer Res Treat       Date:  1981       Impact factor: 4.872

7.  Personalized estimates of breast cancer risk in clinical practice and public health.

Authors:  Mitchell H Gail
Journal:  Stat Med       Date:  2011-02-21       Impact factor: 2.373

8.  A bivariate survival model with compound Poisson frailty.

Authors:  A Wienke; S Ripatti; J Palmgren; A Yashin
Journal:  Stat Med       Date:  2010-01-30       Impact factor: 2.373

9.  Analysis of Smoking Cessation Patterns Using a Stochastic Mixed-Effects Model With a Latent Cured State.

Authors:  Sheng Luo; Ciprian M Crainiceanu; Thomas A Louis; Nilanjan Chatterjee
Journal:  J Am Stat Assoc       Date:  2008-09-01       Impact factor: 5.033

10.  Factors that promote the development of human breast cancer.

Authors:  D B Thomas
Journal:  Environ Health Perspect       Date:  1983-04       Impact factor: 9.031

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