Recent Advanced in Causal Modelling Using Directed ….pptx

Center for Causal Discovery:Summer Workshop - 2015June 8-11, 2015Carnegie Mellon UniversityGoalsWorking knowledge of graphical causal modelsBasic working knowledge of Tetrad VBasic understanding of search algorithmsBasic understanding of several applications:fMRILung DiseaseCancerGenetic Regulatory NetworksForm community of researchers, users, and students interested in causal discovery in biomedical research Tetrad: Complete Causal Modeling ToolTetradMain website: /projects/tetrad//projects/tetrad/projects/tetrad//Download: /projects/tetrad/current.htmlhttp:///projects/tetrad//projects/tetrad/current.htmlPrevious version you downloaded: tetrad-5.1.0-6Newer version with several bug-fixes: tetrad-5.2.1-0Data files: /projects/tetrad_download/download/workshop/Data//projects/tetrad_download/download/workshop/Data/OutlineDay 1: Graphical Causal Models, TetradIntroductionOverview of Graphical Causal ModelsTetradRepresenting/Modeling Causal SystemsParametric ModelsInstantiated ModelsEstimation, Inference, Updating and Model fitTiny Case Studies: Charity, Lead and IQOutlineDay 2: SearchD-separationModel EquivalenceSearch Basics (PC, GES)Latent Variable Model SearchFCIMIMbuildExamplesOutlineDay 3: ExamplesOverviewsfMRICancerLung DiseaseGenetic Regulatory NetworksExtra IssuesMeasurement ErrorFeedback and Time SeriesOutlineDay 4: Breakout SessionsMorningfMRICancerLung DiseaseGenetic Regulatory NetworksAfternoonOverview of Algorithm Development (Systems Group)Group Discussion on Data and Research ProblemsCausation and StatisticsJudea PearlGalileo GalileiFrancis BaconUdny YuleGraphical Causal ModelsCharles SpearmanSewall WrightJamie RobinsSir Ronald A. FisherPotential OutcomesDon RubinJerzy Neyman1500 1600 ….. 1900 1930 1960 1990Graphical Models Intervention Manipulation Modern Theory of Statistical Causal ModelsPotential Outcome Models Testable Constraints(e.g., Independence) Counterfactuals Causal Inference Requires More than ProbabilityPrediction f