Kaplan Meier Curve After 4.7

Requires: Python and Lifelines and Plotly packages.

This component leverages the Python Lifelines package to generate Kaplan-Meier curves and output statistics in a simple dashboard. It is designed to plot the classes within a column (so multiple curves).

The following are output:
1. A statistics table based on the output of the pairwise_logrank_test function with p-value and -log2(p).
2. A survival table with probability percent breakdown and corresponding timeline.
3. A case processing summary with counts, event counts and percentages.
4. Selected logrank test output.
5. Kaplan-Meier curves that plot the variables from the selected column.

Read the Lifeline docs here: https://lifelines.readthedocs.io/en/latest/index.html

Input ports

1. Type: Table
   Data
   Source data to analyze

Output ports

1. Type: Table
   Statistics
   A statistics table based on the output of the pairwise_logrank_test function with p value and -log2(p).
2. Type: Table
   Survival Table
   A survival table with a probability percent breakdown and corresponding timeline.
3. Type: Table
   Case Processing Summary
   A case processing summary with counts, event counts and percentages.
4. Type: Table
   Logrank Test
   Information on the selected Logrank test.
5. Type: Image
   Survival Plot
   Kaplan-Meier curves that plot the variables from the selected column.