Survival Analysis through the integration of expression data, phenotype data, and clinical data
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Updated
Oct 26, 2022 - R
Survival Analysis through the integration of expression data, phenotype data, and clinical data
A bookdown demonstrating how to build survival models using the dsSurvival package in DataSHIELD
Replication syntax for Öney Flores 2019
COX PROPORTIONAL HAZARD SURVIVAL REGRESSION ANALYSIS USING THE EFRON METHOD
Use of clinical EHR data and codelists to investigate all-cause mortality between proton pump inhibitor (PPI) and histamine H2-receptor antagonist (H2RA) exposure groups.
R package. Functions for data analysis and reporting in RMarkdown. Fast and flexible.
Minimal implementation of Kaplan-Meier and Cox proportional hazards models
Extended diagnostic and visualization tools for Cox proportional hazard models in R
TNO PET Lab - Federated Learning (FL) - Protocols - Cox Regression
Deep learning prediction on BRAF genetic mutation for patients with pediatric low grade glioma (pLGG).
A short comparison of the optimal survival tree algorithm (Bertsimas et al.) with cox proportional hazards model and other tree method
Research Major Osteoporotic Fracture: risk calculator
Prognóstico de sobrevida em cativeiro de Tityus bahiensis capturados em Americana/SP
Survival Models coursework - using KM, Cox models as well as graduation methods
Quantitative Methods for Studying Elites: Demonstration for R
Data Science Blog
Predicting customers' churn with survival analysis, including time-dependent variables
Survival Analysis with Neural Networks
A fully-automatic end-to-end outcome prediction platform for oropharyngeal cancer
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