Causal Analysis in Biomedicine and Epidemiology Based on Minimal Sufficient Causation 1st Edition by Mikel Aickin ISBN 0367396742 9780367396749

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Product details:

ISBN 10: 0367396742

ISBN 13: 9780367396749 

Author: Mikel Aickin 

“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:

1: Orientation
2: What Is Causation?
3: Naïve Minimal Sufficient Cause
4: Events and Probabilities
5: Unitary Algebra
6: Nontrivial Implication
7: Tiny Examples
8: The One-Factor Model
9: Graphical Elements
10: Causations
11: Structural Equations
12: The Two-Factor Model
13: Down Syndrome Example
14: Marginalization
15: Stratification
16: Obesity Example
17: Attribution
18: Indirect Cause: Probabilities
19: Indirect Cause: Structures
20: Reversal
21: Gestational Diabetes Example
22: More Reversal
23: Double Reversal
24: Complex Indirect Cause
25: Dual Causation: Probabilities
26: Dual Causation: Structures
27: Paradoxical Causation
28: Interventions
29: Causal Covariance
30: Unitary Rates
31: Functional Causation
32: The Causation Operator
33: Causal Modeling
34: Dependence
35: DAG Theory

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Tags: Mikel Aickin, Causal Analysis, Biomedicine, Epidemiology, Minimal Sufficient Causation