Randomization inference is a method of calculating regression p-values that take into account any variations in RCT data that arise from randomization itself.
Data Analysis
Standardizations is not an abstract concept difficult to have an intuition for, but there are very large sources of errors if bad practices are used. The source of error usually arise from the same standardization is done very many times on different variables.
Get printable version here. For more detailed instructions on how to implement the different tasks in this checklist, see Dissemination. Note that this checklist is best displayed in Chrome, Firefox, Safari or any other modern browser.
Aggregation is the compilation of many values to create one aggregate value. It takes place during data construction, which occurs between data cleaning and data analysis. This page provides common cases of aggregation and outlines best practices.