Posts tagged survival analysis
Frailty and Survival Regression Models
- 26 November 2023
This notebook uses libraries that are not PyMC dependencies and therefore need to be installed specifically to run this notebook. Open the dropdown below for extra guidance.
Reliability Statistics and Predictive Calibration
- 26 January 2023
Duplicate implicit target name: “reliability statistics and predictive calibration”.
Reparameterizing the Weibull Accelerated Failure Time Model
- 17 January 2023
The previous example notebook on Bayesian parametric survival analysis introduced two different accelerated failure time (AFT) models: Weibull and log-linear. In this notebook, we present three different parameterizations of the Weibull AFT model.
Bayesian Survival Analysis
- 17 January 2023
Survival analysis studies the distribution of the time to an event. Its applications span many fields across medicine, biology, engineering, and social science. This tutorial shows how to fit and analyze a Bayesian survival model in Python using PyMC.
Censored Data Models
- 26 May 2022
This example notebook on Bayesian survival analysis touches on the point of censored data. Censoring is a form of missing-data problem, in which observations greater than a certain threshold are clipped down to that threshold, or observations less than a certain threshold are clipped up to that threshold, or both. These are called right, left and interval censoring, respectively. In this example notebook we consider interval censoring.