Handbook of statistical methods for case-control studies /

Handbook of Statistical Methods for Case-Control Studies is written by leading researchers in the field. It provides an in-depth treatment of up-to-date and currently developing statistical methods for the design and analysis of case-control studies, as well as a review of classical principles and m...

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Bibliographic Details
Format: Printed Book
Language:English
Published: London : CRC Press , 2018 .
Series:Chapman & Hall/CRC handbooks of modern statistical methods.
Subjects:
Case-control method > Handbooks, manuals, etc.
Epidemiology > Statistical methods > Handbooks, manuals, etc.
Medical statistics > Handbooks, manuals, etc.
Medical informatics > Handbooks, manuals, etc.
Table of Contents:
  • 1. Origins of the case-control study
  • 2. Design issues in case-control studies
  • 3. Basic concepts and analysis
  • 4. Matched case-control studies
  • 5. Multiple case or control groups
  • 6. Causal inference from case-control studies
  • 7. The Case-crossover study design in epidemiology
  • 8. Small sample methods
  • 9. Power and sample size for case-control studies
  • 10. Measurement error and case-control studies
  • 11. Alternative formulation of models in case-control studies
  • 12. Multi-phase sampling
  • 13. Calibration in case-control studies
  • 14. Secondary analysis of case-control data
  • 15. Response selective study designs using existing longitudinal cohorts
  • 16. Cohort sampling for time-to-event data : an overview
  • 17. Survival analysis of case-control data : a sample survey approach
  • 18. Nested case-control studies : a counting process approach
  • 19. Inverse probability weighting in nested case-control studies
  • 20. Multiple imputation for sampled cohort data
  • 21. Maximum likelihood estimation for case-cohort and nested case-control studies
  • 22. The self-controlled case series method
  • 23. Case-control designs for modern genome-wide association studies : basic principles and overview
  • 24. Analysis of gene-environment interactions
  • 25. Two-stage testing for genome-wide gene-environment interactions
  • 26. Family-based case-control approaches to study the role of genetics
  • 27. Mixed models for case-control genome-wide association studies : major challenges and partial solutions
  • 28. Analysis of secondary phenotype data under case-control designs.

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