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)
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.
Marubini, Ettore, and Valsecchi, Maria Grazia.
1995.
Analysing Survival Data from Clinical Trials and Observational Studies.
New York: John Wiley & Sons.
Miller, Rupert G. Jr. 1981. Survival Analysis. New York: John Wiley & Sons.
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