soda-inria/hazardous
Competing Risks and Survival Analysis
This helps researchers, medical professionals, or actuaries predict when a specific event might happen, especially when other events could prevent it from occurring first. It takes historical data about patients or subjects and their outcomes, and provides predictions on the timing and likelihood of different events. This is ideal for anyone analyzing time-to-event data in fields like medicine or risk management.
116 stars. No commits in the last 6 months. Available on PyPI.
Use this if you need to understand and predict survival times or the occurrence of specific events when multiple different outcomes are possible and can compete with each other.
Not ideal if you are only interested in whether an event happens, without needing to predict its timing, or if there is only one possible outcome.
Stars
116
Forks
18
Language
Python
License
MIT
Category
Last pushed
Sep 23, 2025
Commits (30d)
0
Dependencies
5
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