How to Build a Data Analysis Pipeline 3/19/2018

In this LUNCH & LEARN session, we will examine the opportunities for decision making while building a data analysis pipeline and follow the consequences of those decisions for the interpretability of the results. In addition, we will dive into examples of various types of bias, as well as examples of assumptions made in data collection, in implementation and in statistical modeling. Read more “How to Build a Data Analysis Pipeline 3/19/2018” →