I am writing to express my appreciation for the excellent work on the package, which has greatly facilitated causal inference in Python. As a user of the package, I have been able to successfully apply it to various datasets and problems.

However, I was wondering if it would be possible to extend DoWhy's capabilities to support survival or time-to-event data? Currently, the package appears to focus on traditional outcomes such as binary, continuous, or count responses. Time-to-event data is a common outcome type in many fields (e.g., medicine, economics, sociology), and I believe that supporting this would greatly enhance the utility of DoWhy.

I understand that adding new features can be a significant undertaking, but I was hoping to get some insight into whether there are any plans to support survival analysis or if you could recommend alternative packages or methods for causal inference with time-to-event data. Any advice or resources you could share would be greatly appreciated.

Thank you again for your hard work on the package.