Survival Analysis: Modelling Time to Event Data with Time Varying Features using Survival Trees and Forests

Researcher: Andisani Nemavhola, University of Venda
Supervisors: Dr Justine Nasejje, University of the Witwatersrand, Johannesburg

This study presents and implements random survival forests (RSF) and two of its split rules. The two RSF split rules that this study focuses on are the ????1 and the logrank.

The research questions for this study are the following:

1. Can the proposed ????1 split rule for building RSF be used in the presence of non-proportional hazards
   or time varying covariates?
2. Does the proposed ????1 split rule for RSF perform better than the log rank split rule?