By Wolfgang Wiedermann, Alexander von Eye
A specific consultant to opting for and working with glossy statistical advancements in causality
Written by way of a bunch of famous specialists, Statistics and Causality: tools for utilized Empirical examine focuses at the most recent advancements in statistical tools in admire to causality. Illustrating the homes of statistical the way to theories of causality, the ebook contains a precis of the most recent advancements in tools for statistical research of causality hypotheses.
The e-book is split into 5 available and self sufficient components. the 1st half introduces the principles of causal buildings and discusses matters linked to typical mechanistic and difference-making theories of causality. the second one half positive aspects novel generalizations of tools designed to make statements in regards to the course of results. The 3rd half illustrates advances in Granger-causality trying out and comparable concerns. The fourth half makes a speciality of counterfactual methods and propensity ranking research. eventually, the 5th half offers designs for causal inference with an outline of the examine designs normal in epidemiology. Statistics and Causality: equipment for utilized Empirical examine also includes:
• New statistical methodologies and methods to causal research within the context of the ongoing improvement of philosophical theories
• End-of-chapter bibliographies that offer references for extra discussions and extra learn topics
• Discussions at the use and applicability of software program while appropriate
Statistics and Causality: tools for utilized Empirical learn is a terrific reference for practising statisticians, utilized mathematicians, psychologists, sociologists, logicians, doctors, epidemiologists, and educators who are looking to research extra approximately new methodologies in causal research. The booklet is additionally a great textbook for graduate-level classes in causality and qualitative logic.
Wolfgang Wiedermann, PhD, is Assistant Professor within the division of academic, university, and Counseling Psychology on the college of Missouri, Columbia. His examine pursuits contain the advance of tools for course dependence research and causal inference, the improvement and evaluate of tools for person-oriented examine, and techniques for in depth longitudinal data.
Alexander von Eye, PhD, is Professor Emeritus of Psychology at Michigan nation collage. His study pursuits comprise statistical tools, specific information research, and human improvement. Dr. von Eye is part Editor for the Encyclopedia of records in Behavioral technological know-how and is the coauthor of Log-Linear Modeling: suggestions, Interpretation, and Application, either released by means of Wiley.
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Extra info for Statistics and Causality: Methods for Applied Empirical Research
Assuming determinism, the actual laws of nature will, when applied to this complete “counterfactual” state, yield a unique forward evolution. 6 Think of what these conditionals are doing, in such easy cases, as capturing the outcomes of perfectly controlled experiments. Imagine that you have a god’s-eye view of the world, past, present, and future. Here is R1; over there is R2. You are curious about how conditions in R2 depend specifically on the state of R1. So, using your god-like powers, you reach in and intervene just on the state of R1, changing it to some specific alternative; you leave the time-t state of the rest of the world unchanged.
Lewis 1986b, p. 194) As an example of this method in action, suppose we start by proposing a very simple counterfactual analysis: event X is a cause of event Y if and only if X and Y both occur, but if X had not occurred, Y would not have occurred. (However dated, this is not all that far from currently popular interventionist accounts. Thus, some now like to say that “variable” X is a cause of “variable” Y if and only if an “intervention” on the value of X would have led to a change in the value of Y (again, see Woodward, 2005 and Pearl, 2009)).
Notice that the fact that it is so permissive in this respect is crucial, for the viability of our recipe for evaluating counterfactuals. For if, as a matter of fundamental physical law, an exact state for one part of the world, at a moment in time, could only be combined with a certain limited range of states for the rest of the world, then a counterfactual situation in which R1 manifests condition C1 might be incompatible with the fundamental laws–in which case there is just no point to asking what forward evolution those laws would prescribe for it.