Drawing and Analyzing Causal DAGs with DAGitty User Manual for Version 2 2 Johannes Textor October 30th 2014 Abstract DAGitty is a software for drawing and analyzing acyclic causal diagrams also known in epidemiology as directed acyclic graphs DAGs DAGitty s functions include the identifica tion of minimal sufficient adjustment sets for estimating causal effects diagnosis of insufficient or invalid adjustment via the identification of biasing paths and the derivati
ICAUSALBAYES USER MANUAL INTRODUCTION You can use this app to build a causal Bayesian network and experiment with inferences We hope you ll find it interesting and helpful We expect most of our users will be Al students with a basic knowledge of probability and Statistics You don t need a deep understanding of regression to use the app but you do need to be aware of some terminology and the basic regression equation a response variable RV depends on one or more explanat
ICAUSALBAYES USER MANUAL INTRODUCTION You can use this app to build a causal Bayesian network and experiment with inferences We hope you ll find it interesting and helpful We expect most of our users will be Al students with a basic knowledge of probability and Statistics You don t need a deep understanding of regression to use the app but you do need to be aware of some terminology and the basic regression equation a response variable RV depends on one or more explanat