Long term survival analysis: Breast cancer and age at diagnosis
- 1 July 1990
- journal article
- research article
- Published by Wiley in Statistics in Medicine
- Vol. 9 (7) , 737-748
- https://doi.org/10.1002/sim.4780090704
Abstract
The role of age at surgery of breast cancer patients as a determinant of relative survival after making allowance for clinical profile was investigated on a case series of 716 women followed for more than 20 years in one single institution. Multiplicative and additive models for grouped data were adopted to model the standardized mortality ratio and the excess death rate respectively. The models were fitted by the GLIM system assuming a Poisson error function. We conclude that operable breast cancer has a relatively lower impact on total mortality in older patients (65 years or more) than in younger ones and, moreover, the older patients have a more favourable course.This publication has 19 references indexed in Scilit:
- GENESIS OF BREAST CANCER IS IN THE PREMENOPAUSEThe Lancet, 1988
- Modelling the Relative and Absolute Risks of Radiation-Induced CancersJournal of the Royal Statistical Society. Series A (General), 1987
- Regression Analysis of Relative Survival RatesJournal of the Royal Statistical Society Series C: Applied Statistics, 1987
- The Relation between Survival and Age at Diagnosis in Breast CancerNew England Journal of Medicine, 1986
- Which patients are cured of breast cancer?BMJ, 1984
- Regression Models and Non-Proportional Hazards in the Analysis of Breast Cancer SurvivalJournal of the Royal Statistical Society Series C: Applied Statistics, 1984
- Long term prognosis of women with breast cancer in New Zealand: study of survival to 30 years.BMJ, 1983
- Multiplicative Models and Cohort AnalysisJournal of the American Statistical Association, 1983
- Influence of Age on Outcome in Breast CarcinomaActa Radiologica: Oncology, 1983
- Long-term survival of patients with breast cancer: a study of the curability of the disease.BMJ, 1979