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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.

CC0