Literature DB >> 7187092

Long term survival analysis: the curability of breast cancer.

S J Pocock, S M Gore, G R Kerr.   

Abstract

Methods of survival analysis for long-term follow-up studies are illustrated by a study of mortality in 3878 breast cancer patients in Edinburgh followed for up to 20 years. The problems of life tables, advantages of hazard plots and difficulties in statistical modelling are demonstrated by studying the relationship between survival and both clinical stage and initial menopausal status at diagnosis. To assess the 'curability' of breast cancer, mortality by year of follow-up is compared with expected mortality using Scottish age-specific death rates. Techniques for analysing such relative survival data include age-corrected life tables, ratio of observed to expected deaths and excess death rates. Finally, an additive hazard model is developed to incorporate covariates in the analysis of relative survival and curability.

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Year:  1982        PMID: 7187092     DOI: 10.1002/sim.4780010202

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  14 in total

1.  [Surviving is not equal to survival?].

Authors:  P Martus
Journal:  Med Klin (Munich)       Date:  1999-04-15

2.  A semiparametric additive rates model for recurrent event data.

Authors:  Douglas E Schaubel; Donglin Zeng; Jianwen Cai
Journal:  Lifetime Data Anal       Date:  2006-09-20       Impact factor: 1.588

3.  The attractiveness of an additive hazard model: an example from medical demography.

Authors:  O Kravdal
Journal:  Eur J Popul       Date:  1997-03

4.  Importance of district of residence and known primary site for bowel cancer survival: analysis of data from Wessex Cancer Registry.

Authors:  R M Pickering; I R Chadwell; L Mountney
Journal:  J Epidemiol Community Health       Date:  1992-06       Impact factor: 3.710

5.  Statistics for surgeons - understanding survival analysis.

Authors:  Girdhar Gopal Agarwal
Journal:  Indian J Surg Oncol       Date:  2012-06-06

6.  [The age correction of survival probabilities in cancer studies].

Authors:  P Martus; S Birkenhake; R Sauer
Journal:  Strahlenther Onkol       Date:  1998-01       Impact factor: 3.621

Review 7.  Survivorship in untreated breast cancer patients.

Authors:  Carlos M Galmarini; Olivier Tredan; Felipe C Galmarini
Journal:  Med Oncol       Date:  2015-01-15       Impact factor: 3.064

Review 8.  Molecular biology of breast cancer metastasis. The use of mathematical models to determine relapse and to predict response to chemotherapy in breast cancer.

Authors:  S E Clare; F Nakhlis; J C Panetta
Journal:  Breast Cancer Res       Date:  2000-07-21       Impact factor: 6.466

9.  Which patients are cured of breast cancer?

Authors:  I S Fentiman; J Cuzick; R R Millis; J L Hayward
Journal:  Br Med J (Clin Res Ed)       Date:  1984-10-27

Review 10.  Dormancy in breast cancer.

Authors:  Malgorzata Banys; Andreas D Hartkopf; Natalia Krawczyk; Tatjana Kaiser; Franziska Meier-Stiegen; Tanja Fehm; Hans Neubauer
Journal:  Breast Cancer (Dove Med Press)       Date:  2012-12-05
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