Causal Analysis in Biomedicine and Epidemiology: Based on Minimal Sufficient Causation, 1st Edition (Paperback) book cover

Causal Analysis in Biomedicine and Epidemiology

Based on Minimal Sufficient Causation, 1st Edition

By Mikel Aickin

Chapman and Hall/CRC

236 pages

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"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."

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.

About the Author

Aickin, Mikel

Subject Categories

BISAC Subject Codes/Headings:
MATHEMATICS / Probability & Statistics / General
MEDICAL / Epidemiology
MEDICAL / Biostatistics