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Planning clinical research requires many decisions. The authors of this book explain key decisions with examples showing what works and what does not.
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Planning clinical research requires many decisions. The authors of this book explain key decisions with examples showing what works and what does not.
Produktdetails
- Produktdetails
- Verlag: Cambridge University Press
- Seitenzahl: 440
- Erscheinungstermin: 12. Oktober 2016
- Englisch
- Abmessung: 246mm x 176mm x 32mm
- Gewicht: 788g
- ISBN-13: 9780521549950
- ISBN-10: 0521549957
- Artikelnr.: 45194254
- Verlag: Cambridge University Press
- Seitenzahl: 440
- Erscheinungstermin: 12. Oktober 2016
- Englisch
- Abmessung: 246mm x 176mm x 32mm
- Gewicht: 788g
- ISBN-13: 9780521549950
- ISBN-10: 0521549957
- Artikelnr.: 45194254
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.
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.
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.
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.