Survival analysis in Julia
-
Updated
Jun 7, 2024 - Julia
Survival analysis in Julia
kaplanmeier is an python library to create survival curves using kaplan-meier, and compute the log-rank test.
geneSurv: an interactive web-based tool for survival analysis in genomics research
ACM CHIL 2021: "Enabling Counterfactual Survival Analysis with Balanced Representations"
Survival Analysis of Lung Cancer Patients
Survival modelling using Cox proportional hazard regression model
Survival analysis functions that allow left truncation and weighting, including Aalen-Johansen, Kaplan-Meier, and Cox proportional hazards regression
business analytics course homework assignments
This project focuces on analysis of survival patients with Aids, with Python library Lifelines
Kaplan-Meier-Estimator also known as the product limit estimator.
This repository contains the notes, codes, assignments, quizzes and other additional materials about the course "AI for Medical Prognosis" from DeepLearning.AI Coursera.
An introduction to the concepts of Survival Analysis and its implementation in lifelines package for Python.
Data Set on Chilean Ministers (1990-2014)
Best practices for survival analysis at PNT Lab
Applying KaplanMeierFitter model on Time and Events
TNO PET Lab - secure Multi-Party Computation (MPC) - Protocols - Kaplan-Meier
Data Set on Chilean Undersecretaries (1990-2022)
[Survival Analytics] Working with Dr. Surbhi Grover MD, MPH evaluating survival outcomes, treatment, and survivorship for a cervical cancer cohort with or without HIV co-infection in Botswana, Africa using methods rooted in statistics.
IEEE TNNLS 2020: "Calibration and Uncertainty in Neural Time-to-Event Modeling"
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."