Recent Posts

Background Bootstrapping is a helpful technique for identifying the variance of an estimate in a given sample when no other data are …

Background The Brier Score is a composite measure of discrimination and calibration for a prediction model. The Brier Score is defined …

Recurrent neural networks and their variants are helpful for extracting information from time series. Here’s an example using …

Every now and then it is useful to make a map. In times of political uncertainty, data can light a path forward. Your local elected …

Here’s the blog post originally posted on babelgraph.org on March 25, 2011. The relevant hyperlinks and igraph code have been …

Recent Publications

Assessment of six commonly available sentiment methods trained in non-clinical domains. We evaluated their performance at predicting …

Pulmonary diseases and various forms of critical illness play a significant role in this risk adjustment process both through their …

Some hospitalizations associated with an intensive care unit stay may be preventable with early and appropriate outpatient care. …

Assessment of six commonly available sentiment methods trained in non-clinical domains. We evaluated their performance at predicting …