'Winbugs' diaporamas de présentation

Goals of this workshop

Goals of this workshop. You should: Have a basic understanding of Bayes theorem and Bayesian inference. Write and implement simple models and understand range of possible extensions. Be able to interpret work (talks and articles) that use a Bayesian approach .

741 views • 59 slides

Alex Lewin (Imperial College) Sylvia Richardson ( IC Epidemiology) Tim Aitman (IC Microarray Centre) In collaboration

Bayesian Modelling for Differential Gene Expression. Alex Lewin (Imperial College) Sylvia Richardson ( IC Epidemiology) Tim Aitman (IC Microarray Centre) In collaboration with Anne-Mette Hein, Natalia Bochkina ( IC Epidemiology) Helen Causton (IC Microarray Centre)

720 views • 56 slides

Example 1. Modelling catches of fish

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Introduction to Bayesian Mapping Methods

Introduction to Bayesian Mapping Methods. Andrew B. Lawson Arnold School of Public Health University of South Carolina. South Carolina congenital abnormality deaths 1990. Mapping issues. Relative risk estimation Disease Clustering Ecological analysis. Relative risk estimation.

605 views • 34 slides

Advanced Statistics for Interventional Cardiologists

Advanced Statistics for Interventional Cardiologists. What you will learn. Introduction Basics of multivariable statistical modeling Advanced linear regression methods Hands-on session: linear regression Bayesian methods Logistic regression and generalized linear model Resampling methods

430 views • 21 slides

Bayesian modeling of the accuracy of diagnostic tests

Bayesian modeling of the accuracy of diagnostic tests. Adam Branscum - Dept. of Statistics, U.C. Davis Wes Johnson - Dept. of Statistics, U.C. Davis Ian Gardner - Dept. of Medicine and Epidemiology, U.C. Davis.

431 views • 14 slides

206 views • 10 slides