Scripts and info for defining cohorts in CPRD Aurum
-
Updated
Jul 16, 2024 - R
Scripts and info for defining cohorts in CPRD Aurum
Extended Joint Models for Longitudinal and Survival Data
A comprehensive classification tool based on pure transcriptomics for precision medicine
📦 Non-parametric Causal Effects Based on Modified Treatment Policies 🔮
Bayesian dosing in R
🎯 Data analysis aiming to predict functional impairment in subjects with past mood episodes.
A doubly robust precision medicine approach to estimate and validate conditional average treatment effects
Text-mined knowledgebase for drivers, oncogenes and tumor suppressors in cancer
Model ensemble for third-party lucky series, such GSClassifier
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.
Methods for subgroup identification / personalized medicine / individualized treatment rules
🧠 Machine learning analysis for the paper named "Predicting 3-year persistent or recurrent major depressive episode using machine learning techniques".
MultiMlearn - Estimation of individualized treatment rules using matched learning (M-learning), under the setting of multicategory treatments.
Case Study: Personalized Anti-Coagulation: Optimizing Warfarin Management Using Genetics and Simulated Clinical Trials
Tool for discovery of risk controlled individualized treatment rule via decision trees and random forests
Add a description, image, and links to the precision-medicine topic page so that developers can more easily learn about it.
To associate your repository with the precision-medicine topic, visit your repo's landing page and select "manage topics."