'Causal' presentation slideshows

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The use of graphical models in multi-dimensional longitudinal data

The use of graphical models in multi-dimensional longitudinal data

The use of graphical models in multi-dimensional longitudinal data. Volkert Siersma Department of Biostatistics University of Copenhagen http://biostat.ku.dk/~vosi/. 14th European Young Statisticians Meeting Debrecen, August 22-26, 2005. Type 2 diabetes (T2DM) in General Practice.

By Anita
(376 views)

DAGs intro with exercises 8h (reordered 4.5+3.5) DAG=Directed Acyclic Graph

DAGs intro with exercises 8h (reordered 4.5+3.5) DAG=Directed Acyclic Graph

DAGs intro with exercises 8h (reordered 4.5+3.5) DAG=Directed Acyclic Graph. Hein Stigum http://folk.uio.no/heins/ courses. Nov-15. Nov-15. Nov-15. Nov-15. Nov-15. H.S. H.S. H.S. H.S. 1. 1. 1. 1. 1. Agenda. Background DAG concepts Causal thinking, Paths Analyzing DAGs

By Thomas
(204 views)

REASONING WITH CAUSE AND EFFECT

REASONING WITH CAUSE AND EFFECT

REASONING WITH CAUSE AND EFFECT. Judea Pearl Department of Computer Science UCLA. OUTLINE. Modeling: Statistical vs. Causal Causal Models and Identifiability Inference to three types of claims: Effects of potential interventions Claims about attribution (responsibility)

By havyn
(303 views)

GEF Perspectives on LME Management

GEF Perspectives on LME Management

GEF Perspectives on LME Management. Dann Sklarew, Ph.D. Chief Technical Advisor GEF IW:LEARN. Presentation Outline. GEF – What? Why? How Much? For What? TDA/SAP -- GEF’s Adaptive Management Approach for LMEs GEF View on Measuring Success and Tracking Progress.

By albert
(206 views)

AEE 840

AEE 840

AEE 840. Agricultural Communication Theory. Course Objectives/Purpose.

By Sophia
(300 views)

Judea Pearl University of California Los Angeles cs.ucla/~judea

Judea Pearl University of California Los Angeles cs.ucla/~judea

Judea Pearl University of California Los Angeles http://www.cs.ucla.edu/~judea. CAUSAL REASONING FOR DECISION AIDING SYSTEMS. PROBLEM STATEMENT. Coherent fusion of information for situation assessment and COA evaluation under uncertainty.

By stormy
(222 views)

Indirect Rate Essentials

Indirect Rate Essentials

Indirect Rate Essentials. Breakout Session 806 Presented by Andrew Stowe April 8, 2009 Session Schedule: 11:30-1:00. Learning Objectives. Understanding Key Terminology What are Indirect Rates? When and Why Indirect Rates are Important Regulations Governing Indirect Rates

By sen
(231 views)

A Short Tutorial on Causal Network Modeling and Discovery

A Short Tutorial on Causal Network Modeling and Discovery

A Short Tutorial on Causal Network Modeling and Discovery. Greg Cooper Department of Biomedical Informatics University of Pittsburgh. Modeling the World’s Systems 5/22/2018. Outline. Brief background on causal network discovery Introduction to a method for causal network discovery

By marinel
(139 views)

T HE M YSTERY OF D EATH AND R E-INCARNATION

T HE M YSTERY OF D EATH AND R E-INCARNATION

T HE M YSTERY OF D EATH AND R E-INCARNATION. Theosophy Presented in Graphical Form Made by Anand Gholap from PowerPoint slides created by Dr. KVK. Nehru. For more information on Theosophy visit www.MahatmaCWLeadbeater.org. THE THREE OUTPOURINGS. SOLAR LOGOS. FIRST ASPECT.

By liam
(358 views)

Hypertension and the Metabolic Syndrome in Children and Adolescents – What Should We Be Doing About It?

Hypertension and the Metabolic Syndrome in Children and Adolescents – What Should We Be Doing About It?

Hypertension and the Metabolic Syndrome in Children and Adolescents – What Should We Be Doing About It?. Bonita Falkner, MD Thomas Jefferson University. Nothing to disclose. Metabolic Syndrome in Childhood. Definition of the Metabolic Syndrome in Childhood

By morty
(458 views)

Group Comparison Research

Group Comparison Research

Group Comparison Research. Causal-Comparative (Ex post facto) Research. Purpose of causal comparative research. Attempts to determine cause for Existing conditions Preexisting differences in groups Alleged cause and effect have already occurred Orientations

By mignon
(823 views)

Developing & Implementing a Patient Safety Reporting System

Developing & Implementing a Patient Safety Reporting System

Developing & Implementing a Patient Safety Reporting System. New Jersey PSIC May 2005. Goals for Legislation. Strengthen patient safety Promote a systematic analysis Emphasize confidentiality Sets up reporting system. How Will Information be Used?. Hospital review of events & RCA

By base
(229 views)

Chapter 2 Evolution of Community Health Nursing

Chapter 2 Evolution of Community Health Nursing

Chapter 2 Evolution of Community Health Nursing. SOCIETAL INFLUENCES ON THE DEVELOPMENT OF COMMUNITY HEALTH NURSING::.

By kiaria
(246 views)

DAGs intro with exercises 3h D irected A cyclic G raph

DAGs intro with exercises 3h D irected A cyclic G raph

DAGs intro with exercises 3h D irected A cyclic G raph. Hein Stigum http://folk.uio.no/heins/ courses. Nov-15. Nov-15. Nov-15. Nov-15. Nov-15. H.S. H.S. H.S. H.S. 1. 1. 1. 1. 1. Agenda. Background DAG concepts Association, Cause Confounder, Collider, Mediator

By poppy
(143 views)

Innovation Approach to the Identification of Causal Models in Time Series Analysis

Innovation Approach to the Identification of Causal Models in Time Series Analysis

Innovation Approach to the Identification of Causal Models in Time Series Analysis. T. Ozaki Institute of Statistical Mathematics. ( Wold, Kolmogorov, Wiener, Kalman, Kailath). Innovation Approach. ( Box-Jenkins , Akaike etc.). Causal Model. Ozaki(1985, 1992, 1995, 2000).

By palila
(137 views)

On your horizon

On your horizon

On your horizon. Research Assignment Due Monday night Worth 15 pts. Will help you develop your speech Exam 2 Wednesday Review materials are up online 30% Short answer (Group) and 70% Multiple Choice Next Friday: Workshop for first 3 days of speakers. From “Much Ado About Nothing”.

By abrienda
(144 views)

Drug Safety Assessment and Data Mining

Drug Safety Assessment and Data Mining

Drug Safety Assessment and Data Mining. F. Gavini (IRIS, Servier), G. Le Teuff (Keyrus Biopharma). Journées Maths-Industrie ENSAI 4 mai 2010. Plan. Drug Safety Assessment Knowledge Discovery in Database & Data Mining Use of Data Mining in Drug Safety Assessment An Example in Oncology.

By chung
(693 views)

Hypertension and the Metabolic Syndrome in Children and Adolescents – What Should We Be Doing About It?

Hypertension and the Metabolic Syndrome in Children and Adolescents – What Should We Be Doing About It?

Hypertension and the Metabolic Syndrome in Children and Adolescents – What Should We Be Doing About It?. Bonita Falkner, MD Thomas Jefferson University. Nothing to disclose. Metabolic Syndrome in Childhood. Definition of the Metabolic Syndrome in Childhood

By chanel
(431 views)

Classification of Discourse Coherence Relations: An Exploratory Study using Multiple Knowledge Sources

Classification of Discourse Coherence Relations: An Exploratory Study using Multiple Knowledge Sources

mitre. Classification of Discourse Coherence Relations: An Exploratory Study using Multiple Knowledge Sources. Ben Wellner † *, James Pustejovsky † , Catherine Havasi † , Anna Rumshisky † and Roser Saurí †. † Brandeis University * The MITRE Corporation. Outline of Talk.

By marge
(157 views)

Stability

Stability

Stability. Bounded input  bounded output. Absolutely summable Absolutely integrable. Stability. Examples: y(t) = 2 t Unstable y(t) = x 2 (t) Stable y(t) = 2 t x(0) Unstable y(t) = 2 t x(t) Unstable

By astin
(172 views)

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