Causal Analysis in Biomedicine and Epidemiology

Based on Minimal Sufficient Causation

Mikel Aickin (Autor)

Buch | Softcover

236 Seiten

2019
Chapman & Hall/CRC (Verlag)
978-0-367-39674-9 (ISBN)

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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."

Aickin, Mikel

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.

Erscheinungsdatum	09.09.2019
Sprache	englisch
Maße	156 x 234 mm
Gewicht	453 g
Themenwelt	Mathematik / Informatik ► Mathematik
	Medizin / Pharmazie ► Medizinische Fachgebiete ► Biomedizin
	Studium ► Querschnittsbereiche ► Epidemiologie / Med. Biometrie
	Naturwissenschaften ► Biologie
ISBN-10	0-367-39674-2 / 0367396742
ISBN-13	978-0-367-39674-9 / 9780367396749
Zustand	Neuware