A method of analysis taking into account competing events: Application to the study of digestive complications following irradiation for cervical cancer
- 12 October 1987
- journal article
- clinical trial
- Published by Wiley in Statistics in Medicine
- Vol. 6 (7) , 785-794
- https://doi.org/10.1002/sim.4780060709
Abstract
Over the past 20 years, mortality rates from uterine cervix carcinoma have been decreasing owing to earlier diagnosis and improved treatment. The incidence of secondary effects from radiation therapy has spurred some interest and injuries resulting from ‘over’‐treatment have been of some concern. The present study concerns the evaluation of bowel complications following treatment for the 272 stage IIb and III patients treated in our centre between 1967 and 1973. Competing risk methodology is applied and the influence of radiotherapy parameters is evaluated by a log‐linear model of the event‐specific failure rates. A single parameter (NSD) which summarizes total dose, total number of sessions and total treatment time is found to be related to the occurrence of complications.Keywords
This publication has 10 references indexed in Scilit:
- Covariate Analysis of Competing-Risks Data with Log-Linear ModelsBiometrics, 1984
- Bowel Disease after RadiotherapyJournal of the Royal Society of Medicine, 1983
- Analysis of the severe complications of irradiation of carcinoma of the cervix: Whole pelvis irradiation and intracavitary radiumInternational Journal of Radiation Oncology*Biology*Physics, 1983
- Generalized Linear ModelsPublished by Springer Nature ,1983
- Piecewise Exponential Models for Survival Data with CovariatesThe Annals of Statistics, 1982
- Probability models in the analysis of radiation-related complications: utility and limitations.Radiology, 1981
- Effects of Abdominal Surgery on the Development of Radiation EnteropathyGastroenterology, 1977
- Analysis of Sites and Causes of Failures of Irradiation in Invasive Squamous Cell Carcinoma of the Intact Uterine CervixRadiology, 1975
- Evaluation of Response-Time Data Involving Transient States: An Illustration Using Heart-Transplant DataJournal of the American Statistical Association, 1974