Name: Oncostat, CESP INSERM , Univ. Paris-Sud
Type: Organization
Bio: R packages or code developed by the Oncostat (CESP INSERM, Univ. Paris-Sud, Unit of Biostatistics and Epidemiology, Gustave Roussy) team members.
Location: Gustave Roussy, Villejuif, France
Blog: https://www.gustaveroussy.fr/en/methodologie-et-epidemiologie-clinique-en-oncologie-moleculaire-thematique
Oncostat, CESP INSERM , Univ. Paris-Sud's Projects
Source code for "Accounting for grouped predictor variables or pathways in high-dimensional penalized Cox regression models"
Pipeline to compare the performance of different tools for the non-coding variant scoring
Biomarker selection in penalized regression models
A SAS Macro to Implement the Dual-Agent Bayesian Continual Reassessment Method
Easy and thorough description of datasets
A deep-learning framework for multi-omics integration
Drop the losers with historical control group
Import data from EDC softwares
Hyper-AdaC: Adaptive clustering-based hypergraph representation of whole slide images for survival analysis
Chaîner une base de données hospitalière avec les données de mortalité INSEE
R code - Infinite sparse graphical independent component analysis (Variational Inference)
Oncostat website: https://oncostat.github.io/
Simulation study of IPD based (Mixed Effect Poisson) and AD-based (Netmeta / Metaregression) models for Network Meta analysis
Parametric Frailty Models in R
R and Stan codes for mixed effect continuation ratio model
R code - Survival infinite sparse graphical Independent Component Analysis (Variational Inference)
An R Package for the Evaluation of Failure Time Surrogate Endpoints in Individual Patient Data Meta-Analyses