PPT-Causation: Can We Say

What Caused the Effect Sections 41 and 42 Big Idea of Chapter 4 Previously research questions focused on one proportion What proportion of the time did Buzz guess the right button . If two variables A and B are correlated with high statistical signi64257cance it does not necessarily imply that A causes B nor that B causes A Hence the high correlation between birth rate and number of storks in variously industri alized European c Causation and Laws of Nature: Reductionism sally quanti ed conditionals, holding in a restricted sphere of possible worlds, distinguished from theoretical and de nitional relations which may also b Cum hoc ergo propter hoc:. . “With this, therefore because of this”. Correlation. A . relation existing between phenomena or things or between mathematical or statistical variables which tend to vary, be associated, or occur together in a way not expected on the basis of chance . Ms. . Samah. . alageel. . Community Health . CHS 212 . Outline: . Definition of disease. . The gradual development of disease causation: . Miasma theory. . Germ theory. . Epidemiological models of disease. . Actus Reus . -. Causation. 1. Objectives. Identify. . the meaning of the term causation. Describe. . and give examples of the meaning of factual causation. Describe . and give examples of the meaning of. Cause, Causatives, and Theories of Causation. Julian Reiss, Durham. Background. Main concern: Provide a satisfactory account of causation in the sciences. My own work focuses on the biomedical and social sciences. argument.... . OBJECTIVE:. To study Thomas Aquinas’ argument from CAUSATION as an argument for the existence of God.. (SAINT) Thomas Aquinas= a 13. th. Century Catholic priest, theologian and philosopher (and his bird). Correlation vs. Causation . & Fallacious Reasoning. Correlation . vs. . . Causation. Day 1. An example of the problem. How is correlation different from causation?. TIP: . You may want to take notes.. Data Collection: . Experiments and Observational Studies. 1/23/12. Association. versus Causation. Confounding Variables. Observational Studies . vs. Experiments. Randomized Experiments. Section 1.3. Background and Developments regarding the Role of Asbestos as a Cause of Lung Cancer. Lung Cancer: Medical Aspects of Causation. Aneuploidy. Unlimited cell reproduction and failure of cell death. Animal Studies. Causes are . difference-makers. .. Effect need not be . universal/deterministic. .. N. ot . everyone who is bitten by a cobra . dies. .. N. ot . everyone who dies is bitten by a . cobra. .. B. ut . cobra bites still cause . Negligence: Causation. Learning Objectives. By the end of the session you should be able to:. Distinguish between factual causation and legal causation.. Explain the ‘but for’ . test.. Explain how the ‘but for’ test is applied to cases involving multiple possible causes of injury or . Pg 337..345: 3b, 6b (form and strength). Page 350..359: 10b, 12a, 16c, 16e. Homework Turn In…. A straight line that describes how a response variable y changes as an explanatory variable x changes. . Mechanism and Causality 2009. 9. th. September 2009. University of Kent, Canterbury. Brendan Clarke. Department of Science and Technology Studies. UCL. The Russo-Williamson Thesis. [Russo and Williamson, 2007].