Causal Analysis in Biomedicine and Epidemiology
eBook - ePub

Causal Analysis in Biomedicine and Epidemiology

Based on Minimal Sufficient Causation

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Causal Analysis in Biomedicine and Epidemiology

Based on Minimal Sufficient Causation

About this book

"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."

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Yes, you can access Causal Analysis in Biomedicine and Epidemiology by Mikel Aickin in PDF and/or ePUB format, as well as other popular books in Mathematics & Biostatistics. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover
  2. Half Title
  3. Copyright Page
  4. Frontmatter
  5. Preface
  6. Table of Contents
  7. Special Symbols and Phrases
  8. Orientation
  9. What Is Causation?
  10. Naïve Minimal Sufficient Cause
  11. Events and Probabilities
  12. Unitary Algebra
  13. Nontrivial Implication
  14. Tiny Examples
  15. The One-Factor Model
  16. Graphical Elements
  17. Causations
  18. Structural Equations
  19. The Two-Factor Model
  20. Down Syndrome Example
  21. Marginalization
  22. Stratification
  23. Obesity Example
  24. Attribution
  25. Indirect Cause: Probabilities
  26. Indirect Cause: Structures
  27. Reversal
  28. Gestational Diabetes Example
  29. More Reversal
  30. Double Reversal
  31. Complex Indirect Cause
  32. Dual Causation: Probabilities
  33. Dual Causation: Structures
  34. Paradoxical Causation
  35. Interventions
  36. Causal Covariance
  37. Unitary Rates
  38. Functional Causation
  39. The Causation Operator
  40. Causal Modeling
  41. Dependence
  42. DAG Theory
  43. Epilogue
  44. Further Reading
  45. Index