Robert A. Parker has been a consulting biostatistician for nearly forty years. He has worked in academic medicine, industry (a top 25 global pharmaceutical company) and government (the World Health Organization and the US Centers for Disease Control). In industry, he was the arbiter of statistical methods for more than 100 statisticians in the company. Having worked with junior investigators for most of his professional life, he is dedicated to mentoring the next generation of medical researchers. This book reflects his passion to train junior investigators in the art of clinical research.
Inhaltsangabe
Part I. Introduction: 1. Questions before starting on the details 2. Ethics 3. Informed consent Part II. Study Designs: 4. Overview of study designs 5. Designs for interventional studies 6. Cohort studies 7. Case-control studies 8. Cross-sectional studies 9. Record reviews 10. Selecting a design Part III. Core Concepts Applicable to All Study Designs: 11. Generalizability and validity 12. Study population 13. Getting and keeping participants 14. Study data - how variables are used 15. Study data - endpoints 16. Predictor and confounding variables 17. Bias 18. Avoiding bias Part IV. Additional Concepts for Interventional Studies: 19. Describing your intervention 20. Randomization - what and why 21. Techniques for randomization 22. Blinding 23. Techniques needed for blinding intervention studies 24. Compliance and adherence Part V. Additional Concepts for Observational Studies: 25. Defining populations for cohort studies 26. Identifying participants for case-control studies 27. Matching in nonrandomized studies 28. Blinding in observational studies Part VI. Practical Issues: 29. Acquiring high-quality data 30. Data storage.
Part I. Introduction: 1. Questions before starting on the details 2. Ethics 3. Informed consent Part II. Study Designs: 4. Overview of study designs 5. Designs for interventional studies 6. Cohort studies 7. Case-control studies 8. Cross-sectional studies 9. Record reviews 10. Selecting a design Part III. Core Concepts Applicable to All Study Designs: 11. Generalizability and validity 12. Study population 13. Getting and keeping participants 14. Study data - how variables are used 15. Study data - endpoints 16. Predictor and confounding variables 17. Bias 18. Avoiding bias Part IV. Additional Concepts for Interventional Studies: 19. Describing your intervention 20. Randomization - what and why 21. Techniques for randomization 22. Blinding 23. Techniques needed for blinding intervention studies 24. Compliance and adherence Part V. Additional Concepts for Observational Studies: 25. Defining populations for cohort studies 26. Identifying participants for case-control studies 27. Matching in nonrandomized studies 28. Blinding in observational studies Part VI. Practical Issues: 29. Acquiring high-quality data 30. Data storage.
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