The following Python class computes and draws Kaplan-Meier product limit estimators for given data. An example of how to use the class follows the code. Code Usage Example

# Tag: survival

## comparing mRNA half-life survival curves

In my last post, I illustrated how the Kaplan-Meier estimator can be used to estimate the survival curve of mRNA half-lives. In this post I will expand on that analysis and show how to compare two mRNA half-life Kaplan-Meier curves, each corresponding to a measured gene outcome, to see if mRNA half-life differs between outcomes. […]

## mRNA half-life survival curve estimation

In a recent post, I demonstrated the use of the Kaplan-Meier estimator for estimating survival curves of fictional characters undergoing treatment in a fictional drug trial. Here I illustrate the Kaplan-Meier estimator on real data, data that is unique from normal survival analysis data in that the event under consideration is neither time until death […]

## the Kaplan-Meier estimator

In my last post, I wrote about censored data. This post continues the survival analysis theme by focusing on estimation of survival curves. In survival and reliability analysis, it is useful to determine the survival curve for the population under study. This is the curve defined by the probability that a random variable indicating the […]

## “right censored” data

In clinical trials and reliability studies, researchers often measure the time until an event occurs for each patient or object in the study. That event may be patient death in the case of clinical trials for a new cancer drug, or bridge failure in the case of a reliability study of bridges. Sometimes, however, the […]