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#39 Survival Models & Biostatistics for Cancer Research, with Jacki Buros

Learning Bayesian Statistics

CHAPTER

Survival Modeling - Is Scalability a Challenge?

It sounds to me that's the main challenge when using surv al models, is dealing with this scalability issue. So it's a bit like caution process. And caution process are great, but they scale with the cube of the number of data points. Is this a bit similar with survival models, or am i missing something here? That is the case, particularly if you're trying to integrate over the hazard. I would argue that the harder issue survival models is the fact that we don't observe the outcome directly,. We're offen modelling the hazard.

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