Survival Analysis

Lecture Survival Analysis

	Lecturer	Prof. Dr. Ulrich Stadtmüller
	Class teacher	Marta Zampiceni

	Type	2 hours lecture and 1 hour exercises (2+1); 4 ECTS.

	Time and venue	Lecture:
		Wednesday, 8-10, N24/131
		Exercises:
		Tuesday, 12-13, He18/120

	Contents	Basics Censoring and truncation Nonparametric estimation Regression models

	Informations	Lecture and exercises will be in English. Here is an introduction to R in German, courtesy of Marius Hofert: Eine Einführung in R. Here some other introductions in English: the official one, a shorter one. Very basic R-commands This is an overview of many R-commands for survival analysis. This is a CRAN Task for survival analysis.

	Material	melanoma transplant baboon new dataset

	Exercise sheets	Sheet 1 Sheet 2 NEW VERSION OFSheet 3(ex. 1.d a bit different ) Sheet 4 Sheet 5 Sheet 6 Sheet 7, table () Sheet 8 Sheet 9, table (*) (corrected version). Sheet 10 Sheet 11 Sheet 12 Sheet 13 Sheet 14 Sheet 15 from last year (courtesy of Magda Mroz). Skip the exercise about accelerated failure time models.

	R exercises:	sheet 1, exercise2 sheet 3 (ex 1.d and 2) sheet 4 (ex 3) sheet 5 (ex 2) sheet 6 sheet 7, full table sheet 8 sheet 9, ex. 1, ex. 2, final table sheet 10 sheet 11 sheet 12 sheet 13 sheet 14


	References	John Klein, Melvin Moeschberger: Survival Analysis, Springer, 2005 David Kleinbaum: Survival Analysis: a self-learning text, Springer, 1996 W. N. Venables, B. D. Ripley: Modern Applied Statistics with S, Springer, 2002 John Maindonald, W. John Braun: Data Analysis and Graphics Using R, Cambridge University Press, 2007 John Kalbfleisch, Ross Prentice: The Statistical Analysis of Failure Time Data, Wiley, 1980 Odd Aalen, Ornulf Borgan, Hakon Gjessing: Survival and Event History Analysis, Springer, 2008