Causal Analysis in Biomedicine and Epidemiology

Based on Minimal Sufficient Causation
1. Auflage 2002
ISBN: 978-0-8247-0748-4
Verlag: Chapman and Hall/CRC

Buch, Englisch, 238 Seiten, Format (B × H): 161 mm x 240 mm, Gewicht: 529 g

"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."

Zielgruppe

Professional Practice & Development

Autoren/Hrsg.

Aickin, Mikel

Fachgebiete

• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Computeranwendungen in der Mathematik

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.

Über Autor(innen)

Aickin, Mikel