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I recently was looking for methods to apply to time-to-event data and started exploring Survival Analysis Models. In this post, I’m exploring basic KM estimator which is a nonparametric estimator of the survival function using a real dataset (on time to death for 80 males who were diagnosed with different types of tongue cancer, from package KMsurv) and a simulated dataset (using package survsim). In addition I am using OIsurv, dplyr, ggplot2 and broom for this analysis.
Following is a basic rmarkdown document illustrating the analysis. In my future posts, I’m planning to explore more on following survival models –
Following is a basic rmarkdown document illustrating the analysis. In my future posts, I’m planning to explore more on following survival models –
- Proportional hazards model
- Accelerated failure time Model
- Multiple events model (More than 2 possible events)
- Recurring events (Each subject can experience an event multiple times).
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