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Bibliografía básica
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Hosmer D. W., Lemeshow S., May S. (2008). Applied survival analysis: regression modeling of time-to-event data. Wiley-Interscience
Cox D. R. (2005). Some sampling problems in technology. . Selected Statistical Papers of Sir David Cox
Lee E. T., Wang J. W. (2013). Statistical Methods for Survival Data Analysis. 4th Edition. Wiley
Little R. J., Rubin D. B. (2019). Statistical analysis with missing data (Vol. 793). John Wiley & Sons
Ramsay J. O., Silverman B. W. (2005). Functional Data Analysis. 2nd Edition. Springer
Ferraty F., Vieu P. (2006). Nonparametric functional data analysis : theory and practice. Springer
Qin J. (2017). Biased sampling, over-identified parameter problems and beyond (Vol. 5). Springer
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Bibliografía complementaria
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Van Buuren, S. (2018). Flexible imputation of missing data. CRC Press
Febrero-Bande M, Oviedo de la Fuente M. (2012). Statistical Computing in Functional Data Analysis: The R Package fda.usc. Journal of Statistical Software, 51(4), 1–28
Therneau T. M., Grambsch P. M. (2000). Modeling Survival Data: Extending the Cox Model. Springer
Therneau T. (2021). A Package for Survival Analysis in R. CRAN
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Guía Provisional
Asignaturas