Articles by YoungStatS

Machine learning for causal inference that works

January 25, 2021 | YoungStatS

I’ve kindly been invited to share a few words about a recent paper my colleagues and I published in Bayesian Analysis: “Bayesian Regression Tree Models for Causal Inference: Regularization, Confounding, and Heterogeneous Effects”. In that paper, we motivate and describe a method that we call Bayesian causal forests (BCF), ...
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The Mulitple Latent Block Model for mixed data

January 4, 2021 | YoungStatS

Abstract Co-clustering techniques, which group observations and features simultaneously, have proven to be efficient in summarising data sets. They exploit the dualism between rows and columns and the data set is summarized in blocks (the crossing of a row-cluster and a column-cluster). However, in the case of mixed data sets (...
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Making an Online Risk Calculator

November 10, 2020 | YoungStatS

We first started making risk calculators with the website, http://nomograms.org. There are several here, and they are patient friendly. Later, we launched rcalc.ccf.org, which has many more risk calculators, although the intended audience is the ...
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