Hierarchical Survival Models:
Estimation, Prediction, Interpretation

This repository contains the material for the talk titled Hierarchical Survival Models: Estimation, Prediction, Interpretation, which was presented by Alessandro Gasparini at the 2023 Northern European Stata Conference.

Specifically:

• The Stata script case-study.do includes the code to replicate the case study;

• The dataOvarian.dta is the case study dataset. This dataset combines the data that were collected in double-blind randomized clinical trials in advanced ovarian cancer. The dataset includes the following columns:

  • patientID, the identification number of a patient;
  • trialID, the center in which a patient was treated;
  • trt, the treatment indicator;
  • timeS, the candidate surrogate (progression-free survival);
  • statusS, censoring indicator for for progression-free survival;
  • timeT, the true endpoint (survival time);
  • statusT, censoring indicator for survival time.

License

The content of this repository is released under a Creative Commons Zero v1.0 Universal license.