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I'm curious about statistical models that would predict the time of onset of disease conversion based on clinical measurements. I've seen the terms "survival analysis" and "cox proportional hazards" u…
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Dear Developers
It is a very nice package for survival analysis in Matlab. Thanks for all your efforts.
My question is that is it possible to compute Harrell's concordance index in MatSurv or MAT…
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Hi there. Thank you for this very helpful resource for survival analysis.
I am interested in Mixture Cure models, and noticed that you had recently implemented a **univariate** MixtureCureFitter. …
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This is partially completed by @cipheraxat , creating issue to document his contribution and code .
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Hi Marvin,
is there already a function for combining two ranger models, as requested here: https://stackoverflow.com/questions/44444140/combing-two-objects-of-class-ranger-in-r-for-survival-analys…
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To assess the affects of tumor purity on our results, we should re-run certain survival models, considering only samples that have `tumor_fraction>= median tumor fraction` (https://github.com/AlexsLem…
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The survival package in R supports time-varying covariates by using the three-parameter form of Surv(start, end, status). The basic idea is to split one individual's observations at each time point wh…
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https://doi.org/10.1101/131367 (http://biorxiv.org/content/early/2017/04/27/131367)
> Translating the vast data generated by genomic platforms into accurate predictions of clinical outcomes is a fu…
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**Mixture cure models** are used in survival analysis when not all subjects are expected to experience the event(s) under investigation. As reviewed in [Amico and Van Keilegom (2018)](https://www.annu…
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It would be very useful to have a type of result channel that represents xy scan data (or potentially multidimensional scans as well), shown to the user in much the same fashion as subscans are.
Th…