Prognostic factors and risk groups: Some results given by using an algorithm suitable for censored survival data
- 1 April 1983
- journal article
- research article
- Published by Wiley in Statistics in Medicine
- Vol. 2 (2), 295-303
- https://doi.org/10.1002/sim.4780020226
Abstract
The problem of identifying the role of various prognostic factors when the response variable is the patient's survival time is discussed. Morgan and Sonquist's approach1 of constructing groups at similar risk is useful and an algorithm which implements the method for survival time data with censored observations is described. Examples of its application to two sets of medical data are given, arising from studies of prognosis following renal transplantation and treatment for stage I malignant melanoma of the skin.Keywords
This publication has 12 references indexed in Scilit:
- Topics in Applied Multivariate AnalysisPublished by Cambridge University Press (CUP) ,1982
- Survival Times: Aspects of Partial LikelihoodInternational Statistical Review, 1981
- Importance of prognostic factors in the analysis of data from clinical trialsControlled Clinical Trials, 1981
- An Exploratory Technique for Investigating Large Quantities of Categorical DataJournal of the Royal Statistical Society Series C: Applied Statistics, 1980
- Partial likelihoodBiometrika, 1975
- Significance Testing in Automatic Interaction Detection (A.I.D.)Journal of the Royal Statistical Society Series C: Applied Statistics, 1975
- Statistical methods for the identification and use of prognostic factorsInternational Journal of Cancer, 1974
- Discrimination and Allocation with Discrete DataJournal of the Royal Statistical Society Series C: Applied Statistics, 1967
- Problems in the Analysis of Survey Data, and a ProposalJournal of the American Statistical Association, 1963
- Nonparametric Estimation from Incomplete ObservationsJournal of the American Statistical Association, 1958