Section outline

  • The course will run every day from 9h to 12h30 and then from 13h30 to 17h, and will include two coffee breaks per day.

    13 June: Advanced linear models

    • simple and multiple linear models
    • inference
    • interactions
    • contrasts
    • model selection/building

    • diagnostic tools

    14 June: Generalized linear models

    • Generalized linear models theory
    • logistic and poisson regression

    15 June: Linear mixed models

    • fixed and random effects
    • crossed/nested random effects
    • longitudinal data analysis

    16 June: Survival analysis

    • survival data
    • Kaplan-Meier curves
    • log-rank test
    • Cox PH model
    • stratification
    • advanced models (time-dependent variables, frailty models)