ABSTRACT

"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."

chapter 1|6 pages

Orientation

chapter 2|6 pages

What Is Causation?

chapter 3|8 pages

Naïve Minimal Sufficient Cause

chapter 4|10 pages

Events and Probabilities

chapter 5|8 pages

Unitary Algebra

chapter 6|6 pages

Nontrivial Implication

chapter 7|4 pages

Tiny Examples

chapter 8|10 pages

The One-Factor Model

chapter 9|8 pages

Graphical Elements

chapter 10|6 pages

Causations

chapter 11|4 pages

Structural Equations

chapter 12|6 pages

The Two-Factor Model

chapter 13|4 pages

Down Syndrome Example

chapter 14|4 pages

Marginalization

chapter 15|4 pages

Stratification

chapter 16|6 pages

Obesity Example

chapter 17|6 pages

Attribution

chapter 18|6 pages

Indirect Cause: Probabilities

chapter 19|4 pages

Indirect Cause: Structures

chapter 20|6 pages

Reversal

chapter 21|4 pages

Gestational Diabetes Example

chapter 22|6 pages

More Reversal

chapter 23|6 pages

Double Reversal

chapter 24|4 pages

Complex Indirect Cause

chapter 25|4 pages

Dual Causation: Probabilities

chapter 26|4 pages

Dual Causation: Structures

chapter 27|4 pages

Paradoxical Causation

chapter 28|8 pages

Interventions

chapter 29|6 pages

Causal Covariance

chapter 30|8 pages

Unitary Rates

chapter 31|6 pages

Functional Causation

chapter 32|4 pages

The Causation Operator

chapter 33|12 pages

Causal Modeling

chapter 34|6 pages

Dependence

chapter 35|8 pages

DAG Theory

chapter 36|6 pages

Epilogue

chapter 37|4 pages

Further Reading