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

Informationen zum Autor Aickin, Mikel Klappentext "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." Zusammenfassung "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." Inhaltsverzeichnis 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.

Product details

• Authors: Aickin Aickin, Mikel Aickin, Mikel (University of Arizona Aickin, AICKIN MIKEL
• Publisher: Taylor & Francis Ltd.
• Languages: English
• Product format: Hardback
• Released: 09.11.2001
• EAN: 9780824707484
• ISBN: 978-0-8247-0748-4
• No. of pages: 236
• Series: Chapman & Hall/CRC Biostatistics Series; Corrosion Technology; Chapman & Hall/CRC Biostatistics Series
• Subject: Natural sciences, medicine, IT, technology > Medicine > Clinical medicine