PPT-Causality analysis
Author : sherrill-nordquist | Published Date : 2017-07-14
Facilitators Workshop on District Health Performance Improvement Lilongwe 25 th 27 th March 2015 Steps Diagnose Select interventions Define indicators Identify
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Causality analysis: Transcript
Facilitators Workshop on District Health Performance Improvement Lilongwe 25 th 27 th March 2015 Steps Diagnose Select interventions Define indicators Identify information sources . IPDET 2011. Ottawa. John Mayne, Ph D. Advisor on Public Sector Performance. Adjunct Professor, University of Victoria. john.mayne@rogers.com. 2. The context. An intervention is expected to contribute to certain desired results. specifically, given the current position value (x, y, z), the current momentum vector , plus all the acting forces, in classical physics one can plot the trajectory of the particle and predict the fut can e.g. be pupil-computer ratio, outcomes can be the extent of use of Internet and ICT in teaching and learning, whereas impact e.g. can be improvements of students ICT skills. The eLearning Nord Decrease disagreement between assessors Give accurate quantitative measurement of relationship likelihood Classify relationship likelihood Distinguish valid from invalid cases Mark individual case ACTG Network Meeting. June 20, 2011. Ling Chin, MD, MPH. Safety Pharmacovigilance Team Leader, DAIDS. Deborah McMahon. , MD. University of Pittsburgh. ACTG - PEC. Olu Og. unyankin. , MD. DAIDS RSC . Safety & Pharmacovigilance Specialist. Sources: D. Jensen. “Research Methods for Empirical Computer Science.”. . William M.K. . Trochim. . “Research Methods Knowledgebase”. More on Causality. What is causality?. What’s Important About Causality?. in. EEG Analysis. Steven L. Bressler. Cognitive . Neurodynamics. Laboratory. Center for Complex Systems & Brain Sciences. Department of Psychology. Florida . Atantic. University. Overview. Fourier Analysis. f. or Query Answers and non-Answers. Alexandra Meliou, Wolfgang . Gatterbauer. , . Katherine . Moore, . and . Dan . Suciu. http://db.cs.washington.edu/causality/. 1. Motivating . E. xample: Explanations. Using . View. -Conditioned . Causality. Alexandra Meliou. *. . with Wolfgang . Gatterbauer. *. , . Suman. . Nath. §. , and Dan . Suciu. *. *. University of Washington, . §. Microsoft Research. University of Washington. Why do we work on Computational Biology?. Slides will be available on . http://www.dcs.warwick.ac.uk/~feng/combio.html. Computational Biology in Practice . Introduction and model fitting. Frequency . University . of Houston Graduate Foresight Program. 7. th. Annual Spring Gathering, April 21 – 22, . 2017. Oliver Markley, Ph.D.. Professor Emeritus, . Graduate Studies . of the Future. University of Houston-Clear Lake. Class 5. Tony Cox. tcoxdenver@aol.com. . University of Colorado at Denver. Course web site: . http://cox-associates.com/6330/. . What is a predictive model?. “The probability that X will happen is p” is a predictive model. David Evans. Some Criticisms of GWA Studies…. So you have a new GWAS hit for a disease… so what!?. You can’t change people’s genotypes (at least not yet). You can however modify people’s environments…. Steven L. Bressler. Director, Cognitive Neurodynamics Lab. Center for Complex Systems & Brain Sciences. Florida Atlantic University. The goal: . to . characterize the . large-scale brain networks responsible for cognition.
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