Data Analysis, Simulation, and Programming in R

This course provides training in using the open-source statistical programming environment called R to accomplish 1) real-world, reproducible data analysis and 2) design and implementation of statistical simulations, which are an important tool for evaluating the performance of statistical estimation and inference procedures. Topics covered include:

Content relevant to designing and implementing Monte Carlo simulation studies is interwoven throughout the course.

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