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Rheumatology 2000; 39: 1-2
© 2000 British Society for Rheumatology

Editorials

Potential bias in Kaplan–Meier survival analysis applied to rheumatology drug studies

M. Utley, S. Gallivan, A. Young1, N. Cox2, P. Davies3, J. Dixey4, P. Emery5, A. Gough6, D. James7, P. Prouse8, P. Williams9 and J. Winfield10

Clinical Operational Research Unit, University College London,
1 St Albans City Hospital, St Albans,
2 Royal Hampshire County Hospital, Winchester,
3 Broomfield Hospital, Chelmsford,
4 Robert Jones and Agnes Hunt Orthopaedic Hospital, Oswestry,
5 Rheumatology Research Unit, University of Leeds, Leeds,
6 Harrogate Hospital, Harrogate,
7 Grimsby Hospital, Grimsby,
8 Basingstoke District Hospital, Basingstoke,
9 Medway Hospital, Gillingham and
10 Royal Hallamshire Hospital, Sheffield, UK

Correspondence to: S. Gallivan, Clinical Operational Research Unit, 4 Taviton Street, London WC1H 0BT, UK.

Survival analysis using methods due to Kaplan and Meier [1] is the recommended statistical technique for use in cancer trials [2]. It is applied by analysing the distribution of patient survival times following their recruitment to a study. The analysis expresses these in terms of the proportion of patients still alive up to a given time following recruitment. In graphical terms, a plot of the proportion of patients surviving against time has a characteristic decline (often exponential), the steepness of the curve indicating the efficacy . . . [Full Text of this Article]

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