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I am working on a project applying survival analysis to the dwell times of insects and have found the PyCox package quite useful.
I have mostly been following along with the simplest example from 01_introduction.ipynb but have had to make some inferences on the Population Survival Curve.
In the tutorial, the predicted survival curves of the test data are built and the graphed indivudally. I am hoping to come up with an estimated Population Survival Curve. Is this as simple as taking the mean of our predicted survival curves?
Not sure if this is the answer you are looking for, but if you are looking for a Population survival curve, sounds like a non-parametric estimator such as the Kaplan Meier or Nelson Aalen may be good for you. The Kaplan Meier one doesn't consider any covariates - it just plots the survival at each observed event time as the cumulative product of previous survivals (starting with 1, of course).
Hello, deer puckybreg and everyone
The demo of the deepsurvey model draws an individual survival curve, and I also hope to be able to draw a curve for the entire population. Do you know if anyone else has a good solution?
sincerely !!!! thanks
Hi Pycox Community!
I am working on a project applying survival analysis to the dwell times of insects and have found the PyCox package quite useful.
I have mostly been following along with the simplest example from 01_introduction.ipynb but have had to make some inferences on the Population Survival Curve.
In the tutorial, the predicted survival curves of the test data are built and the graphed indivudally. I am hoping to come up with an estimated Population Survival Curve. Is this as simple as taking the mean of our predicted survival curves?
Let me know your thoughts.
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