Graham Tierney
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Data Science
Why you shouldn’t “hold-out” data in survival-model predictions
When predicting event times in the future, you should include that information in the training data.
Data Science in Mental Health
I review two applications of predictive modeling in mental health, one successful and the other not: identifying school shootings before they happen and prioritizing callers to a crisis hotline.
Record linkage: An Adventure in Graph Theory
How to efficiently standardize names and link observations from different sources using graphs.
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