Survival modelling using Cox proportional hazard regression model
-
Updated
Mar 31, 2017 - R
Survival modelling using Cox proportional hazard regression model
Simple library to help calculate and graph survival curves.
this repository hold the supporting code for the blog post
Best practices for survival analysis at PNT Lab
Kaplan-Meier for Congestive Heart Failure Analysis
geneSurv: an interactive web-based tool for survival analysis in genomics research
business analytics course homework assignments
Generating Kaplan Meier plots using gene expression data
Reconstructing individual-level data from published Kaplan-Meier survival curves using the method proposed by Guyot, Patricia et al (2012)
Survival Analysis
Determined how long a patient is likely to survive advanced inoperable lung cancer when treated with chemotherapy (standard treatment) vs chemotherapy combined with a new drug (test treatment).
Applying KaplanMeierFitter model on Time and Events
survival curves in ggplot2
ACM CHIL 2021: "Enabling Counterfactual Survival Analysis with Balanced Representations"
IEEE TNNLS 2020: "Calibration and Uncertainty in Neural Time-to-Event Modeling"
A preprocessor to construct medical history table from data source
This repository contains the exercises and workshops of the survival analysis classes based on the book by Peter J. Smith and the lecture notes of Luis Guillermo Monroy Diaz (UNAL).
UX Analytics & A/B Testing
Survival analysis of Game of Thrones characters using Kaplan-Meier estimators, Cox regression and ElasticNet
TNO MPC Lab - Protocols - Kaplan-Meier
Add a description, image, and links to the kaplan-meier topic page so that developers can more easily learn about it.
To associate your repository with the kaplan-meier topic, visit your repo's landing page and select "manage topics."