Work

Survival Analysis Part II: Multivariate data analysis – an introduction to concepts and methods

Year: 2003

Type: article

Abstract: Survival analysis involves the consideration of the time between a fixed starting point (e.g. diagnosis of cancer) and a terminating event (e.g. death). The key feature that distinguishes such data from other types is that the event will not necessarily have occurred in all individuals by the time the study ends, and for these patients, their full survival times are unknown. For instance, in studies that measure the length of survival after diagnosis of cancer, it is common for a proportion of individuals to remain alive and disease-free at the end of the follow-up period, and for these patients, we know only a lower limit on their actual time to event. Thus, special methods are required for these type of data. The explanation and demonstration of some of the methods proposed to analyse such data are the basis of this series.

Source: British Journal of Cancer

DOI: 10.1038/sj.bjc.6601119

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