Abstract
In clinical practice, survival curves show the fraction of patients who experienced the outcome of interest. As survival data contain “censored” observations where a patient is lost to scrutiny before experiencing the outcome, a sensible survival curve cannot be computed through simple division. This article aimed to provide various important aspects of survival analysis, censoring and various survival estimation techniques that are simple to calculate and understand, and a better visualization of statistical significance.
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