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Equipe QuanTIM : Méthodes Quantitatives et Traitement de l’Information Médicale

Logiciels et packages développés

Programmes d'analyse statistique

  • goftte: Goodness-of-Fit for Time-to-Event Data. R package for assessing goodness-of-fit in proportional (sub) distributions hazards regression models.
  • ipcwswitch: Inverse Probability of Censoring Weights to Deal with Treatment Switch in Randomized Clinical Trials. R package for formatting clinical trials data and implementing inverse probability of censoring weights to handle treatment switches when estimating causal treatment effect in randomized clinical trials.
  • missCforest: R package for single imputation based on the ensemble conditional trees Cforest algorithm.
  • Plot.RSurv: R function used to plot method for the function 'RSurv'.
  • RSurv: R function to fit relative survival regression model with or without proportional hazards.
  • SensMice: Multivariate Imputation by Chained Equations (Iteration Step for sensitivity analysis). R package to impute missing data under different scenarios of non response mechanism in order to perform a sensitivity analysis.
  • SPODT: Spatial Oblique Decision Tree. R package for a spatial partitioning method based on oblique decision trees, in order to classify study area into zones of different risks, determining their boundaries.
  • xhaz: R package to fit relative survival regression models with or without proportional excess hazards and with the additional possibility to correct for background mortality by one or more parameter(s).


  • MI Dentistry. Based on the MI handbook developed by the European MI advisory Board this mobile application (iOS & Android) is a stand-alone clinical decision support system for educational purposes. It helps dental students and dental GPs perform a caries risk assessment that forms the basis of the minimally invasive dental approach.