Tool for discovery of risk controlled individualized treatment rule via decision trees and random forests

Case Study: Personalized Anti-Coagulation: Optimizing Warfarin Management Using Genetics and Simulated Clinical Trials

MultiMlearn - Estimation of individualized treatment rules using matched learning (M-learning), under the setting of multicategory treatments.

🧠 Machine learning analysis for the paper named "Predicting 3-year persistent or recurrent major depressive episode using machine learning techniques".

Methods for subgroup identification / personalized medicine / individualized treatment rules

Model ensemble for third-party lucky series, such GSClassifier

Text-mined knowledgebase for drivers, oncogenes and tumor suppressors in cancer

🎯 Data analysis aiming to predict functional impairment in subjects with past mood episodes.

R scripts for the SGLT2vsGLP1 paper

Code accompanying the findings in Duran-Ferrer 2020, Nat Cancer. The epiCMIT mitotic clock calculator and a Pan B-cell tumor classifier algorithm are provided.

R package BioPred

Extended Joint Models for Longitudinal and Survival Data

Model-Informed Precision Dosing (MIPD) with R

A doubly robust precision medicine approach to estimate and validate conditional average treatment effects

A comprehensive classification tool based on pure transcriptomics for precision medicine

📦 Non-parametric Causal Effects Based on Modified Treatment Policies 🔮

Scripts and info for defining cohorts in CPRD Aurum