Weibull Regression Survival Analysis. In Weibull regression model the outcome is median survival time for a given combination of covariates. Often we have additional data aside from the duration that we want to use.
In the example an interaction term sexage is specified. 1TRT Estimated survival times for the median St 05. Part 3 - Fitting Models to Weibull Data with Right-Censoring Frequentist Perspective Tools.
Throughout the Bayesian approach is implemented using R and appropriate illustrations are made.
For example in the medical domain we are seeking to find out which covariate has the most important impact on the survival time of a patient. Similar to the logic in the first part of this tutorial we cannot use traditional methods like linear regression because of censoring. Dec 11 2018 The Weibull distribution is particularly popular in survival analysis as it can accurately model the time-to-failure of real-world events and is sufficiently flexible despite having only two. Part 3 - Fitting Models to Weibull Data with Right-Censoring Frequentist Perspective Tools.
