Year: 2003
Type: review
Abstract: In the previous papers in this series ( Bradburn et al, 2003a , 2003b ; Clark et al, 2003 ), we discussed methods for analysing survival time data, both univariate and multivariate. We have dealt with only a portion of the methods available for analysing survival time data, and in many cases, useful alternatives to (or extensions of) these methods exist. We have also left unanswered other questions regarding the design and analysis of studies that measure survival time and, in particular, dealing with situations where some standard modelling assumptions do not hold. We conclude this series by tackling these issues. These ideas are described in a question and answer format, and introductory references are provided for the reader to investigate further.
Source: British Journal of Cancer
Authors: T G Clark, M J Bradburn, S B Love, D G Altman
Institutions: Cancer Research UK, Cancer Research UK Oxford Centre
Language: English
Subfield: Statistics and Probability
Field: Mathematics
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $5,190
Funder: Cancer Research UK
OpenAlex ID: W2163917918