Apheresis Study
by Santiago Noacco
Overview
In this project I go over a medical dataset to assert the effectiveness of a novel apheresis method. Employing basic statistical technics such as hypothesis testing and linear regresions I conclude that the introduced method is highly superior than its predecessor, resulting in a 42(5)% efficiency increase, a 33(9)% increase in security (reduction of toxicity) and an estimated annual savings of 12.3(4.1)k u$. All of this carried out using Python3, SciPy, NumPy and others.