Mikel Aickin

Causal Analysis in Biomedicine and Epidemiology (eBook, PDF)

Based on Minimal Sufficient Causation

• Format: PDF

Produktbeschreibung

"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."

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 236
• Erscheinungstermin: 9. November 2001
• Englisch
• ISBN-13: 9781482275773
• Artikelnr.: 57531115

Autorenporträt

Aickin, Mikel

Inhaltsangabe

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.