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1. Biostatistics: An Introduction
2. Outline
3. Meaning or Randomness?
4. Meaning or Randomness?
5. Decision Making
6. Decision Making: Diagnosis
7. Decision Making: Diagnosis
8. Decision Making: Sensitivity
9. Decision Making Continued
10. Decision Making: Specificity
11. Decision Making: Tradeoff
12. Graphical Representation of Tradeoffs
13. Decision Making for Diagnosis: Summary
14. Scientific Decision Making
15. Eventual Graphical Representation
16. Question 2 First
17. Question 2 Continued
18. Typical Choice of Cutoff
19. Power of the Scientific Method
20. Back to Question 1
21. A �Law of Large Numbers�
22. A �Law of Large Numbers�
23. A �Law of Large Numbers�
24. A �Law of Large Numbers�
25. A �Law of Large Numbers�
26. Summary: Law of Large Numbers
27. Scientific Decision Making
28. The Power of the Scientific Method
29. Scientific Decision Making
30. Putting it All Together
31. Quote from An LA BioMed Protocol
32. Software for Previous Slide
33. Study Size : May Not be Based on Power
34. Study Design Considerations Statistical Components of Protocols Target population / source of subjects.
Quantification of aims, hypotheses.
Case definitions, endpoints quantified.
Randomization plan, if one will be used.
Masking, if used.
Study size: screen, enroll, complete.
Use of data from non-completers.
Justification of study size (power, precision, other).
Methods of analysis.
Mid-study analyses.
35. Resources, Software, and References
36. Professional Statistics Software Package
37. Microsoft Excel for Statistics
38. Typical Statistics Software Package
39. Free Statistics Software: Mystat
40. Free Study Size Software
41. http://gcrc.labiomed.org/biostat
42. Recommended Textbook: Making Inference
43. Thank You