SURPY python for surgical data analysis
Project description
SURPY (เซอ-ปี้) is a Python module built by a group of surgical researchers with a primary aim to be used as a command line interface (CLI) tool for outcome data analysis, beginning from taking input files in .xlsx format, aggregate the basic statistics and basic hypothesis testing for association between a variable and a defined outcome. The following table describes packages within the module. SURPY and related packages are available from https://github.com/sasurasa/soda_ep1. The package uses Pandas, Numpy, Scipy, sklearn, lifelines, statsmodels and Matplotlob as base packages.
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