This paper gives an introduction to some basic but critically important concepts of statistics and data analysis for the SAS programmer who pulls or manipulates data, but who might not understand what goes into a proper data analysis. We first introduce some basic ideas of descriptive statistics for one-variable data and then expand those ideas into many variables. We then introduce the idea of statistical significance and then conclude with how all these ideas can be used to answer questions about the data. Examples and SAS® code are provided.
Managing and monitoring statistical models can present formidable challenges when you have multiple models used by a team of analysts over time. How can you efficiently ensure that you’re always getting the best results from your models? In this paper, we’ll first examine these challenges and how they can affect your results. We’ll then look into solutions to those challenges, including lifecycle management and performance monitoring. Finally, we’ll look into implementing these solutions both with an in-house approach and with SAS®Model Manager.