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### What is your question?
1. In trying to reproduce the estimates produced by the examples for `summarize_coxph()` in [Cox proportional hazards regression](https://insightsengineering.github.io/te…
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Hi Jim, Nick, Deb
Thank you, Jim and Nick for your nice presentation last week. It caught my attention that in Cox model you used age as a time-varying covariate. It prompted me to perform some lit…
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In theory, it would also be possible to specify the learner which is used to learn the censoring model, tune the parameters, etc.... For now I'd restrict to simple parametric learner, e.g. `coxph`, bu…
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I'm working on a time-varying cox regression analysis.
I'm attempting to add time varying covariates to a dataset in long format, following the examples [here](https://lifelines.readthedocs.io/en/lat…
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Dear Professor Frank,
I am trying to run survfit using cph object according to the syntax mentioned here: https://www.rdocumentation.org/packages/rms/versions/5.1-1/topics/survfit.cph
My data is…
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One of the challenges in a CPH analysis is including the right features. The simplest approach consists in selecting a feature subset using univariate Cox regression. However, this approach relies on …
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Dear prof. Harrell,
I've recently learned of a way to work with time-dependent coefficients when the proportional hazards assumption is violated in the cox-regression: By splitting the dataset using …
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The `print_summary` method in the `lifelines.statistics.StatisticalResult` class was not correctly handling the `decimals` argument when no explicit `style` was provided. This led to the output table …
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The Cox proportional hazard model is great. It turns out that it is actually equivalent to a conditional logistic regression, if formatted correctly. In the `R` package `survival`, there is a function…
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This outlines a roadmap for basic statistical functionality that Julia needs to offer. It is heavily drawn from the table of contents for MASS.
- [ ] Data processing [DataFrames.jl](https://github.com…