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Data Monitoring Committee Training Lecture Three: Methods Overview - PDF document

Data Monitoring Committee Training Lecture Three: Methods Overview Introduction 1.1 Statistical Methods Overview 1.2 Book References 1.3 DMC Structure and Function Review 1.4 Data Monitoring Rationale 1.5 DMC Recommendations 1.6 Reasons for


  1. Data Monitoring Committee Training Lecture Three: Methods Overview Introduction 1.1 Statistical Methods Overview 1.2 Book References

  2. 1.3 DMC Structure and Function Review 1.4 Data Monitoring Rationale

  3. 1.5 DMC Recommendations 1.6 Reasons for Early Termination

  4. 1.7 DMC Decision Factors 1.8 DMC Summary - NIH Model

  5. 1.9 DMC Summary - Independence 1.10 Statistical Challenges

  6. 2. Motivating Example 2.1 Statistical Methods - Motivating Example 2.2 The Beta-blocker Heart Attack Trial

  7. 2.3 BHAT: Accumulating Survival Data 2.4 BHAT: Mortality Curves

  8. 2.5 BHAT: Baseline Comparisons 2.6 BHAT: Total Mortality by Subgroup

  9. 2.7 BHAT: Total Mortality by Risk Group 2.8 DMC Interim Analysis Challenge

  10. 2.9 Coronary Drug Project 2.10 Coronary Drug Project Research Group

  11. 2.11 Repeated Significance Testing 3. Two Monitoring Methods 3.1 Statistical Methods Overview

  12. 3.2 Group Sequential Boundaries 3.3 Three Common Boundaries

  13. 3.4 Haybittle-Peto 3.5 Armitage-Pocock

  14. 3.6 Group Sequential Model 3.7 Summary Statistics Explained

  15. 3.8 Sample Size Implications 3.9 Pocock Group Sequential Boundaries

  16. 3.10 Sample Size Example for Pocock 3. 11 O’Brien -Fleming Group Sequential Boundary

  17. 3. 12 O’Brien -Fleming Group Sequential Boundaries cont'd 3.13 Fixed Design Sample Size

  18. 3.14 Defining Assessment Target 3.15 International Use of Boundaries

  19. 3. 16 Boundary Parameter ∆ for Pocock & OBF 3.17 Selection of Group Sequential Boundaries

  20. 3.18 Group Sequential Boundaries 3.19 BHAT Example

  21. 3.20 BHAT GSB 3.21 Timing of Data Reviews

  22. 3.22 Using Alpha Spending Function 3.23 Information and Calendar Time

  23. 3.24 Alpha Spending 3.25 Boundary Crossing Probability

  24. 3.26 Alpha Spent For 5 Interim Analyses 3.27 OBF Alpha Spending Function

  25. 3.28 Examples of a*(t) 3.29 Why Is Flexibility Important?

  26. 3.30 CAST GSB 3.31 CAST Interim Data: Sudden Death

  27. 3.32 CAST Sequential Boundaries 3.33 Lessons of CAST

  28. 3.34 Symmetric or Asymmetric GSBs 4. Negative Trends 4.1 Statistical Methods Overview

  29. 4.2 Methods for Assessing Negative Trends 4.3 Group Sequential Boundaries For Negative Trends

  30. 4.4 Motivating Example: VEST 4.5 Vesnarinone (VEST) in Heart Failure

  31. 4.6 Vesnarinone Doses 4.7 Vesnarinone Mortality and Morbidity

  32. 4.8 Vesnarinone Second Trial 4.9 VEST NEJM 1998

  33. 4.10 VEST: Survival in the Three Groups 4.11 VEST: Mortality By Subgroups

  34. 4.12 VEST: Accumulating Mortality Results 4.13 VEST Mortality High Dose vs. Placebo

  35. 4.14 Why Did VEST Continue? 4.15 Conditional Power

  36. 4.16 Conditional Power cont'd 4.17 Conditional Power In General

  37. 4.18 A Method for Computing 4.19 Visual Aid

  38. 4.20 Conditional Power Parameter ϴ 4.21 Conditional Power Parameter cont'd

  39. 4.22 Conditional Power Table 4.23 Conditional Power Boundaries

  40. 4.24 Symmetric Vs. Asymmetric Boundaries 5. Methods Summary 5.1 Sequential Methods Summary

  41. 5.2 Group Sequential Software 5.3 References page 1

  42. 5.4 References page 2 5.5 References page 3

  43. 5.6 End of Lecture Three

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