Abstract
S-PLUS contains extensive survival analysis facilities written by Terry Therneau (Mayo Foundation). The functions in S-PLUS 3.3 and 3.4 are modified versions of code available from statlib as survival4 (see Appendix C for further information); S-PLUS 3.2 and earlier versions used the rather different survival2 . As the code for survival4 is available1, we strongly recommend its use.
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Andersen et al. (1993, p. 22) indicate that this trial had a sequential stopping rule which invalidates most of the methods used here; it should be seen as illustrative only.
S(t—) is the Kaplan-Meier estimate of survival just prior to t , ignoring the grouping.
and had not been for four years.
first proposed by Peto (1972).
We are grateful to the Australian National Centre in HIV Epidemiology and Clinical Research for making these data available to us.
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© 1997 Springer Science+Business Media New York
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Venables, W.N., Ripley, B.D. (1997). Survival Analysis. In: Modern Applied Statistics with S-PLUS. Statistics and Computing. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-2719-7_12
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DOI: https://doi.org/10.1007/978-1-4757-2719-7_12
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