Work

Survival Analysis Part III: Multivariate data analysis – choosing a model and assessing its adequacy and fit

Year: 2003

Type: article

Abstract: In this series of papers, we have described a selection of statistical methods used for the initial analysis of survival time data ( Clark et al, 2003 ), and introduced a selection of more advanced methods to deal with the situation where several factors impact on the survival process ( Bradburn et al, 2003 ). The latter paper focused on proportional hazards (PH) and accelerated failure time (AFT) models, and we continue the series by demonstrating the application of these models in more detail. Whereas the focus of the previous paper was to outline the purpose and interpretation of statistical models for survival analysis, we concentrate here on approaches with which to undertake the actual modelling process. In other words, the aim of this paper is to promote the correct use of the models that have been suggested for the analysis of survival data.

Source: British Journal of Cancer

DOI: 10.1038/sj.bjc.6601120

Authors: M J Bradburn, T G Clark, S B Love, D G Altman

Institutions: Cancer Research UK, Cancer Research UK Oxford Centre

Language: English

Topic: Statistical Methods and Inference

Subfield: Statistics and Probability

Field: Mathematics

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: hybrid

Estimated APC paid: $5,190