This is a three-session workshop on the use of Go for data processing.  Go is an open source language developed for general-purpose programming.  It is not more difficult to learn and use than a high-level scripting language like Python, but it is strongly typed, statically compiled, and provides native support for concurrency, leading to much […]

Mediation analysis is a set of tools for exploring hypotheses about causal pathways, with a special focus on differentiating “direct” from “mediated” associations between an exposure and an outcome.  Many approaches to mediation analysis are based on regression analysis. In this workshop, we will cover some of the basic ideas behind regression-based mediation analysis, and […]

This workshop will cover GIS concepts and techniques for analyzing geometric networks embedded in geographical space. We will mainly focus on road network, but the ideas and techniques apply to similar network such as water and electric distribution and gas pipelines. We will primarily use open source tools in R and QGIS, but will also […]

Missing data arise in many fields of research, and a large body of statistical tools has been developed to facilitate statistical analysis in the presence of missing data.  Here we focus mainly on multiple imputation, which is a broadly-applicable approach for working with missing data. We will illustrate through several case studies how multiple imputation […]

This semester, a series of seven workshops was offered by CSCAR illustrating various approaches to statistical analysis using the Python Statsmodels package.  In this session, we will provide an open forum for people to get hands-on assistance in this environment. Several data sets and suggested analysis goals will be provided, but participants are also welcome […]