Abstract
This chapter provides a concise introduction to survival analysis. We review the essential tools in survival analysis, such as the survival function, Kaplan–Meier estimator, hazard function, log-rank test, Cox regression, and likelihood-based inference.
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References
Andersen PK, Borgan O, Gill RD, Keiding N (1993) Statistical models based on counting processes. Springer, New York
Collett D (2003) Modelling survival data in medical research, 2nd edn. CRC Press, London
Cox DR (1972) Regression models and life-tables (with discussion). J R Stat Soc Ser B Stat Methodol 34:187–220
Emura T, Chen YH (2016) Gene selection for survival data under dependent censoring, a copula-based approach. Stat Methods Med Res 25(6):2840–2857
Emura T, Chen HY, Matsui S, Chen YH (2018) Compound.Cox: univariate feature selection and compound covariate for predicting survival. CRAN
Fleming TR, Harrington DP (1991) Counting processes and survival analysis. Wiley
Gehan EA (1965) A generalized Wilcoxon test for comparing arbitrarily singly-censored samples. Biometrika 52:203–224
Kalbfleisch JD, Prentice RL (2002) The statistical analysis of failure time data, 2nd edn. Wiley, New York
Kaplan EL, Meier P (1958) Nonparametric estimation from incomplete observations. J Am Stat Assoc 53(282):457–481
Klein JP, Moeschberger ML (2003) Survival analysis techniques for censored and truncated data. Springer, New York
Michiels S, Le Maître A, Buyse M, Burzykowski T, Maillard E, Bogaerts J, Pignon JP (2009) Surrogate endpoints for overall survival in locally advanced head and neck cancer: meta-analyses of individual patient data. Lancet Oncol 10(4):341–350
van der Vaart AW (1998) Asymptotic statistics. Cambridge series in statistics and probabilistic mathematics. Cambridge University Press, Cambridge
van Houwelingen HC, Putter H (2011) Dynamic prediction in clinical survival analysis. CRC Press, New York
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Emura, T., Chen, YH. (2018). Introduction to Survival Analysis. In: Analysis of Survival Data with Dependent Censoring. SpringerBriefs in Statistics(). Springer, Singapore. https://doi.org/10.1007/978-981-10-7164-5_2
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DOI: https://doi.org/10.1007/978-981-10-7164-5_2
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Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-7163-8
Online ISBN: 978-981-10-7164-5
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