Causal Analysis in Biomedicine and Epidemiology: Based on Minimal Sufficient Causation

by Mikel Aickin

Overview

"Provides current models, tools, and examples for the formulation and evaluation of scientific hypotheses in causal terms. Introduces a new method of model parametritization. Illustrates structural equations and graphical elements for complex causal systems."

Product Details

ISBN-13:	9780824707484
Publisher:	Taylor & Francis
Publication date:	11/09/2001
Series:	Chapman & Hall/CRC Biostatistics Series , #9
Edition description:	New Edition
Pages:	238
Product dimensions:	6.12(w) x 9.19(h) x (d)

About the Author

Aickin, Mikel

Table of Contents

Orientation; what is causation?; naive minimal sufficient cause; events and probabilities; unitary algebra; nontrivial implication; tiny examples; the one-factor model; graphical elements; causations; structural equations; the two-factor model; Down Syndrome example; marginalization; stratification; obesity example; attribution; indirect cause - probabilities; indirect cause - structures; reversal; gestational diabetes example; more reversal; double reversal; complex indirect cause; dual causation - probabilities; dual causation - structures; paradoxical causation; interventions; causal covariance; unitary rates; functional causation; the causation operator; causal modelling; dependence; DAG theory.