•1 min read•from Towards Data Science
Discrete Time-To-Event Modeling – Predicting When Something Will Happen
Our take
In the first part of our series on Discrete Time-To-Event Modeling, we delve into the foundational concepts that underpin this powerful analytical approach. By exploring the discretization of time, understanding censoring, and utilizing the life table, we provide a clear framework for predicting when events occur. This post equips you with essential insights that simplify complex statistical methods, empowering you to leverage these techniques in your data analysis. Join us as we uncover the basics that will transform your understanding of time-to-event data.
Part 1: The basics — discretization of time, censoring and the life table
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