People using R for applied research are often not taught basic programming practices such as writing functions, efficient iterative processing, vectorization, and other practices that would make their research far […]
GEE is an extension of the generalized linear modeling (GLM) framework for dependent data. GEE can be used with longitudinal data, clustered data, and other forms of dependent data where […]
Prerequisites: Familiarity with basic statistical calculations and graphs is helpful. In this one-day, six-hour workshop we will discuss the basics of using SAS for data analysis. The workshop is held […]
In the R by Example series of workshops, we’ll discuss example analyses in R as a vehicle for learning commonly used tools and programming patterns. The “Functional Programming with dplyr” workshop will […]
 
Audience: Those who have never used Stata before but wish to learn. By the end of the workshop, participants will be able to: Work with Stata, including using Do-files and […]
HIGH-ACCURACY SIMULATION OF FREE SURFACE FLOWS NEAR FINITE-TIME PINCH-OFF AND COALESCENCE SINGULARITIES
Multilevel modeling is the state-of-the-art approach for handling data with complex dependence structure in a regression analysis. This workshop will discuss fitting multilevel models in Python using the Statsmodels package. […]
STUDYING DYNAMICS USING COMPUTATIONAL POLYNOMIAL OPTIMIZATION
In this workshop we will use Make to manage build dependency in a multi-file, multi-language software project. We will learn how to use Make functions, automatically generate dependencies, and inquire […]