Duration: 12h. In this module, we will introduce generalized linear models (GLMs) through the study of binomial data. In particular, we will motivate the need for GLMs; introduce the binomial ...

We will also study the properties of least squares, and describe some goodness of fit metrics for linear regression models. Module 3 | Inference in Linear Regression. Duration: 9h. In this module, we ...

9.1.3 Model quality and statistical significance. We will come back to the question of whether the linear model is valid (whether it satisfies the assumptions of the technique). First we want to ...

Multiple regression and regression diagnostics. Generalised linear models; the exponential family, the linear predictor, link functions, analysis of deviance, parameter estimation, deviance residuals.

Deep Treatment Learning (deepTL), a robust yet efficient deep learningbased semiparametric regression approach, is proposed to adjust the complex confounding structures in comparative effectiveness ...

March 19, 2021 — Lawrence Livermore National Laboratory (LLNL) computer scientists have developed a new framework and an accompanying visualization tool that leverages deep reinforcement learning for ...