Causal Analysis in Biomedicine and Epidemiology: Based on Minimal Sufficient Causation / Edition 1

by Mikel Aickin

Overview

"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."

Product Details

ISBN-13:	9780367396749
Publisher:	Taylor & Francis
Publication date:	09/05/2019
Series:	Corrosion Technology , #9
Pages:	236
Product dimensions:	6.12(w) x 9.19(h) x (d)

About the Author

Aickin, Mikel

Table of Contents

Preface v

Special Symbols and Phrases ix

1 Orientation 1

2 What Is Causation? 7

3 Naive Minimal Sufficient Cause 13

4 Events and Probabilities 21

5 Unitary Algebra 31

6 Nontrivial Implication 39

7 Tiny Examples 45

8 The One-Factor Model 49

9 Graphical Elements 59

10 Causations 67

11 Structural Equations 73

12 The Two-Factor Model 77

13 Down Syndrome Example 83

14 Marginalization 87

15 Stratification 91

16 Obesity Example 95

17 Attribution 101

18 Indirect Cause: Probabilities 107

19 Indirect Cause: Structures 113

20 Reversal 117

21 Gestational Diabetes Example 123

22 More Reversal 127

23 Double Reversal 133

24 Complex Indirect Cause 139

25 Dual Causation: Probabilities 143

26 Dual Causation: Structures 147

27 Paradoxical Causation 151

28 Interventions 155

29 Causal Covariance 163

30 Unitary Rates 169

31 Functional Causation 177

32 The Causation Operator 183

33 Causal Modeling 187

34 Dependence 199

35 DAG Theory 205

36 Epilogue 213

37 Further Reading 219

Index 223