Modelling time-to-event data

Williams, Gail M. and Ware, Robert S. (2013). Modelling time-to-event data. In Suhail A. R. Doi and Gail M. Williams (Ed.), Methods of Clinical Epidemiology (pp. 165-186) Heidelberg, Germany: Springer. doi:10.1007/978-3-642-37131-8


Author Williams, Gail M.
Ware, Robert S.
Title of chapter Modelling time-to-event data
Title of book Methods of Clinical Epidemiology
Place of Publication Heidelberg, Germany
Publisher Springer
Publication Year 2013
Sub-type Chapter in textbook
DOI 10.1007/978-3-642-37131-8
Series Springer Series on Epidemiology and Public Health
ISBN 9783642371301
9783642371318
ISSN 1869-7933
1869-7941
Editor Suhail A. R. Doi
Gail M. Williams
Start page 165
End page 186
Total pages 23
Language eng
Formatted Abstract/Summary
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.
Q-Index Code BX
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Book Chapter
Collections: Non HERDC
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Created: Fri, 21 Mar 2014, 05:06:34 EST by Dr Robert Ware on behalf of School of Public Health