Background: Random effects are commonly modeled in multilevel, longitudinal, and latent-variable settings. Rather than estimating fixed effects for specific clusters of data, "predictions" can be made as the mode or mean of posterior distributions that arise as the product of the random effect...

Much interest has been focused on animated graphical displays of data in recent years, although this mostly involves some expertise with specialized software and programming. There is a lack of simple tools for data analysts to use to produce animations. In this presentation, I will show how...

The last three years have seen explosive growth in the variety and sophistication of interactive online graphics. These are mostly implemented in the web language JavaScript, with the Data Driven Documents (D3) library being the most popular and flexible at present. Leaflet is a mapping library...

Residual confounding is a major problem in analysis of observational data, occurring when a confounding variable is measured coarsely (censored, heaped, missing, etc.) and hence cannot be fully adjusted to obtain a causal estimate by usual means such as multiple regression. The analysis of...

The last three years have seen explosive growth in the variety and sophistication of interactive online graphics. These are mostly implemented in the web language JavaScript, with the D3 (Data Driven Documents) library being the most popular and flexible at present. Leaflet is a mapping library...