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Mixed Effects Modeling in Stata
We'll discuss mixed model regression (also known as multi-level models or hierarchical linear models) in this session which is used for repeated measures data or data which has a clustering…
Data management in R with data.table
Matt Dowle, author of the data.table package, describes it as, “provid a high-performance version of base R's data.frame with syntax and feature enhancements for ease of use, convenience and programming speed.” In this workshop…
Geostatistics
Geostatistics deals with continuous variation over space and emphasizes the idea of spatial correlation via co-variance. It is widely used for spatial interpolation. We will use R (and ArcGIS) to…
Regular Expressions II
Regular expressions are perfectly suited for people who like puzzles. Regular expressions are a sequence of characters used to define a search pattern. They are commonly used to do “find”…
Dimension Reduction Techniques
This workshop will provide an overview of commonly used dimension reduction techniques such as principle components analysis (PCA), multi-dimensional scaling (MDS), and factor analysis. The focus will be on concepts…
Statistical Analysis with R
This is a two day workshop (November 13 and 14) in R which is a free and open source environment for data analysis and statistical computing. While R contains many…
Statistical Analysis with R
This is a two day workshop (November 13 and 14) in R which is a free and open source environment for data analysis and statistical computing. While R contains many…
Matching with R
An introduction to matching, such as propensity score matching, using R's "optmatch" package. Matching is used to improve balance between groups, typically in observational studies, by creating quasi-experimental strata of similar individuals. We…
Web Scraping with Python
This workshop will provide an overview of how to scrape data from html pages and website APIs using Python. This will mostly be accomplished using the Python requests, beautifulsoup, retry…
Spatial point process models
Spatial point (and marked point) process models help us analyze the geometrical pattern of points in space and find application in a variety of fields including image processing, public health,…
