Causal analysis in biomedicine and epidemiology : based on minimal sufficient causation
著者
書誌事項
Causal analysis in biomedicine and epidemiology : based on minimal sufficient causation
（Biostatistics, 9）
Marcel Dekker, 2001
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
"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."
目次
- 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.
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