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Universal PTV with 90% cutoffs:
Cutoffs are based on all patients. There are 2 groups: 90% below and 90% above.
Female low PTV burden: green
Female high PTV burden: purple
Male low PTV burden: bl…
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### 🚀 Describe the improvement or the new tutorial
[`TorchSurv`](https://github.com/Novartis/torchsurv) is a Python package that serves as a companion tool to perform deep survival modeling within …
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**Submitting author:** @melodiemonod (MĂ©lodie Monod)
**Repository:** https://github.com/Novartis/torchsurv
**Branch with paper.md** (empty if default branch): 45-joss-submission
**Version:** v0.1.2
**…
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Could you please support the converter for sksurv module (sklearn for survival analysis, such as CoxPHSurvivalAnalysis, ComponentwiseGradientBoostingSurvivalAnalysis or GradientBoostingSurvivalAnalysi…
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**## Description**
I am attempting to generate synthetic data conditional on ethnicity for my survival data. I am able to generate the data but agetting an error regarding time_to_event when attemp…
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Hi,
I have a similar issue - and I don't think it can be solved on the x side.
In my case, I have a parametric survival model (estimated using 'survreg' from the survival package), and what I want i…
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Please Update Readme for Survival Analysis Version Install Instructions.
The instructions reference the deprecated repository "https://mc-stan.org/r-packages/".
So that users can avoid confusion…
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Hello
My major field is medicine and I am new to python code.
I try to analyze the RNA-seq and survival data with OmiEmbed.
RNA-seq data (A.tsv) and survival data (survival.tsv) are located in 'd…
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Right now the analyses are calculating death post-exposure, so shouldn't controls be exclude (because they were not exposed)?
Or we can run a more general survival analysis