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Analysis of survival and duration data [ LSTAT2220 ]


4.0 crédits ECTS  15.0 h + 5.0 h   1q 

Teacher(s) Teodorescu Bianca (compensates Van Keilegom Ingrid) ; Van Keilegom Ingrid ;
Language French
Place
of the course
Louvain-la-Neuve
Main themes The following concepts and models will be studied in this course : - Right censoring, left truncation - Some common parametric distribution functions in survival analysis - Nonparametric estimation of basic quantities (Kaplan-Meier estimator of the survival distribution, Nelson-Aalen estimator of the cumulative hazard function,...) - Hypothesis testing regarding the equality of two or more survival curves - Proportional hazards models - Parametric regression models / accelerated failure time models - Frailty models
Aims The aim is to familiarize the student with the basic concepts and models in survival analysis. Moreover, by making use of computer packages, the student will be able to solve real data problems. The course stresses more the methodology, the interpretation, and the mechanisms behind common models in survival analysis, and less the theoretical and mathematical aspects.
Content Content - Nonparametric estimation of basic quantities (Kaplan-Meier estimator of the survival distribution, Nelson-Aalen estimator of the cumulative hazard function,...), the development of some (asymptotic) properties of these estimators, and hypothesis testing regarding the equality of two or more survival curves - Proportional hazards model (estimation of model components, hypothesis testing, selection of explanatory variables, model validation, ...) - Accelerated failure time model (estimation of parameters in model, hypothesis testing, model selection, model validation,...) - Frailty model (introduction, motivation, estimation of model components, ...) Teaching methods The course consists of lectures, meetings exercices and an individual project on computer.
Other information Prerequisites - The student should have a good knowledge of probability and statistics. - Good knowledge of SAS or Splus (or any other advanced computer package) is required. Evaluation The evaluation consists of : - an oral exam - a project on computer, which consists of the analysis of real data. Teaching materials The course notes will be distributed during the first lecture. Others Professor : Ingrid Van Keilegom, phone : 010/47 43 30, e-mail : vankeilegom@stat.ucl.ac.be References Cox, D.R. and Oakes, D. (1984). Analysis of survival data, Chapman and Hall, New York. Hougaard, P. (2000). Analysis of multivariate survival data. Springer, New-York. Klein, J.P. and Moeschberger, M.L. (1997). Survival analysis, techniques for censored and truncated data, Springer, New York.
Cycle et année
d'étude
> Master [120] in Statistics: Biostatistics
> Certificat universitaire en statistique
Faculty or entity
in charge
> LSBA


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