Foundations of Epidemiology
Yêu thích
Ghim pinterest

Foundations of Epidemiology

Tác giả: Marit L. Bovbjerg

Nhà xuất bản: Project Gutenberg

Thể loại: Y học sức khỏe

Định dạng: Epub

Lượt xem: 380

Ngày cập nhật: 14/04/2021

Thông tin chi tiết

Book Description: Foundations of Epidemiology is an open access, introductory epidemiology text intended for students and practitioners in public or allied health fields. It covers epidemiologic thinking, causality, incidence and prevalence, public health surveillance, epidemiologic study designs and why we care about which one is used, measures of association, random error and bias, confounding and effect modification, and screening.

Concepts are illustrated with numerous examples drawn from contemporary and historical public health issues.

Traffic analytics interactive report

  1. Acknowledgements

  2. Preface

    1. References
    1. 1. What is Epidemiology?

      1. Distribution
      2. Person
      3. Determinants
      4. Disease
      5. Populations
      6. Controlling Health Problems
      7. Conclusions
      8. References
    2. 2. Measures of Disease Frequency

      1. Counts (a.k.a. Frequencies)
      2. Incidence and Prevalence
      3. Prevalence
      4. Incidence
      5. Uses of Incidence and Prevalence
      6. Relationship between Incidence and Prevalence
      7. Summary
      8. References
    3. 3. Surveillance

      1. Notifiable Conditions
      2. Cancer Registries
      3. Vital Statistics
      4. Survey-Based Surveillance Systems
      5. Conclusions
      6. References
    4. 4. Introduction to 2 x 2 Tables, Epidemiologic Study Design, and Measures of Association

      1. Necessary First Step: 2 x 2 Notation
      2. Studies That Use Incidence Data
      3. Studies That Use Prevalence Data
      4. Conclusions
      5. References
    5. 5. Random Error

      1. What Is Random Error?
      2. Quantifying Random Error
      3. Summary
      4. References
    6. 6. Bias

      1. Internal versus External Validity
      2. Selection Bias
      3. Misclassification Bias
      4. Publication Bias
      5. Conclusion
      6. References
    7. 7. Confounding

      1. Criteria for Confounders
      2. Confounding: Definition
      3. Methods of Confounder Control
      4. Choosing Confounders
      5. Summary
      6. References
    8. 8. Effect Modification

      1. Differences between Confounding and Effect Modification
      2. Conclusion
    9. 9. Study Designs Revisited

      1. Cohorts
      2. Randomized Controlled Trials
      3. Case-Control Studies
      4. Cross-Sectional Studies
      5. Case Reports/Case Series
      6. Ecologic Studies
      7. Systematic Reviews and Meta-analyses
      8. Conclusions
      9. References
    10. 10. Causality and Causal Thinking in Epidemiology

      1. Causes of Human Disease
      2. Determining When Associations Are Causal in Epidemiologic Studies
      3. Methods & Considerations
      4. Conclusion
      5. References
    11. 11. Screening and Diagnostic Testing

      1. Introduction
      2. Screening versus Diagnostic Testing
      3. Disease Critical Points and Other Things to Understand about Screening
      4. Accuracy of Screening and Diagnostic Tests
      5. Example
      6. Summary
      7. References
  3. Appendix 1: How to Read an Epidemiologic Study

  4. Appendix 2: Glossary

  5. About the Author

  6. Creative Commons License

  7. Recommended Citations

  8. Versioning