Abstract
Much clinical research involves following up patients to an adverse outcome, which could be death, relapse, an adverse drug reaction or the development of a new disease. In these studies, time to event needs to be modelled such that factors that delay such events can be determined. The set of statistical procedures used to analyze such data is collectively termed survival analysis and is a very useful tool in clinical research. This chapter introduces the different tools of survival analysis.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Bibliography
Cox DR (1972) Regression models and life tables. J R Stat Soc 34:187–220
Hammer SM, Squires KE, Hughes MD, Grimes JM, Demeter LM, Currier JS, Eron JJ Jr, Feinberg JE, Balfour HH Jr, Deyton LR et al (1997) A controlled trial of two nucleoside analogues plus indinavir in persons with human immunodeficiency virus infection and CD4 cell counts of 200 per cubic millimeter or less. AIDS Clinical Trials Group 320 Study Team. N Engl J Med 337:725–733
Kalbfleisch JD, Prentice RL (1980) The statistical analysis of failure time data. Wiley, New York
Kaplan EL, Meier P (1958) Nonparametric estimation from incomplete observations. J Am Stat Assoc 53:457–481
Spruance SL, Reid JE, Grace M, Samore M (2004) Hazard ratio in clinical trials. Antimicrob Agents Chemother 48:2787–2792
Tonne C, Schwartz J, Mittleman M, Melly S, Suh H, Goldberg R (2005) Long-term survival after acute myocardial infarction is lower in more deprived neighbourhoods. Circulation 111:3063–3070
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Williams, G.M., Ware, R. (2013). Modelling Time-to-Event Data. In: Doi, S., Williams, G. (eds) Methods of Clinical Epidemiology. Springer Series on Epidemiology and Public Health. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37131-8_11
Download citation
DOI: https://doi.org/10.1007/978-3-642-37131-8_11
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-37130-1
Online ISBN: 978-3-642-37131-8
eBook Packages: MedicineMedicine (R0)