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Eventi in home
StatisticAlps - Summer course on medical statistics... in the alps
logo decennale

Dal 31 agosto al 4 settembre 2008

Hotel Mirella - Via Roma 21, Ponte di Legno (BS)

 

ANALYSIS OF MULTIVARIATE SURVIVAL DATA

Prof. David Glidden - Department of Epidemiology and Biostatistics

University of California San Francisco (UCSF)

 

PROGRAMME:

Sunday - 31 August 2008

19.30 - Welcome Reception

 

Monday - 1 September 2008

9.00:11.00

Survival data: censoring, truncation, the hazard and survival functions
Non and semi-parametric estimation in survival data; The Cox Model

 

11.30:12.30

Multivariate survival data
Multistate event data

 

13.30:16.00

Conditional and partly conditional hazard functions
Multistate event estimation
Competing risks and repeated events data as multistate event data

 

16.30:18.00

Tutorial: Introduction to R for survival analysis

 

Tuesday - 2 September 2008

8.30:12.30

Competing risks data: cause-specific hazard functions
Cumulative incidence functions
Semi-parametric models for competing risks data

 

16.00:17.30

Repeated events data
Proportional rate and proportional means models
Conditional models; the approach of Wei-Lin-Weissfeld

 

18.00:20.00

Tutorial: Repeated measures analyses in R

 

Wednesday - 3 September 2008

8.30:12.30

Clustered survival data; dependence measures; marginal & bivariate survivor function estimation
Marginal versus conditional model for clustered survival data: interpretation
Large sample theory and computation for marginal Cox models

 

Thursday - 4 September 2008

8.30:12.30

Frailty models for clustered survival data; frailty distributions; interpretation Advantages and complications of frailty modeling
Gamma frailty model; theory and computational approaches

 

16.00:17.30

Model checking for frailty models; Marginal specifications
Innovative applications of frailty models

 

18.00:20.00

Tutorial: Frailty Modeling in R

 

 

PRACTICAL SESSIONS:

Participants are required to bring their own laptops with the most recent copy of R installed. It is available for free download at: http://www.r-project.org

The labs will be individual with the tutor guidance

 

 

Further informations about StatisticAlps can be found at this address:
http://www.statmed.medicina.unimib.it/statisticalps2008/statisticalps.htm

 

Allegati:
- programme - programme -

In archivio dal: 05/09/2008


  

  
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redazioneweb@unimib.it - ultimo aggiornamento di questa pagina 29/09/2016