PROPHET StatGuide: Survival Analysis--Analyzing and comparing survival functions
- life tables
(estimate survival functions for grouped survival data)
- Kaplan-Meier plot
(estimate survival functions for survival data recorded for individuals)
- Survival function comparison tests
(for survival data recorded for individuals, test whether two or more samples
are from populations that follow the same survival function: Mantel-Cox
log-rank test,
Gehan-Breslow test, Tarone-Ware test)
The full version of StatGuide for survival analysis will be available in a
future release. In the meantime, to properly analyze and interpret
results of survival analysis, you should be familiar with the following terms and
concepts:
If you are not familiar with these terms and concepts, you are advised to
consult with a statistician. Failure to understand and properly apply
survival analysis may result in drawing erroneous conclusions from your data.
Additionally, you may want to consult the following references:
- Cox, D. R. and Oakes, D. 1984.
Analysis of Survival Data.
London: Chapman and Hall.
- Elandt-Johnson, Regina C. and Johnson, Norman L. 1980.
Survival Models and Data Analysis.
New York: John Wiley & Sons.
- Kalbfleisch, John D. and Prentice, Ross L. 1980.
The Statistical Analysis of Failure Time Data.
New York: John Wiley & Sons.
- Lawless, J. F. 1982.
Statistical Models and Methods for Lifetime Data.
New York: John Wiley & Sons.
- Lee, Elisa T. 1992. Statistical Methods for Survival
Data Analysis. 2nd ed. New York: John Wiley & Sons.
- Miller, Rupert G. Jr. 1981. Survival Analysis. New York: John Wiley & Sons.
- Rosner, Bernard. 1995. Fundamentals of Biostatistics.
4th ed. Belmont, California: Duxbury Press.
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Last modified: February 14, 1997
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