• Design
• 34 min
  1. An introduction to randomization for clinical trials 1

  • Prof. William Rosenberger
• 20 min
  2. An introduction to randomization for clinical trials 2

  • Prof. William Rosenberger
• 42 min
  3. Randomisation, blinding and drug supply in interactive voice response trials

  • Mr. Damian McEntegart
• 42 min
  4. Randomization in clinical trials: time for fresh consideration?

  • Dr. Alex Sverdlov
• Analysis
• 32 min
  5. Design and conduct of non-inferiority trials

  • Prof. Valerie Durkalski-Mauldin
• 37 min
  6. Nonparametric covariate adjustment

  • Prof. Michael Akritas
• 34 min
  7. The impact of randomization on the evidence of a clinical trial

  • Prof. Nicole Heussen
• Theory
• 43 min
  8. Historical and ethical issues in trial design

  • Dr. J. Rosser Matthews
• 52 min
  9. Likelihood ratios and the strength of statistical evidence

  • Prof. Jeffrey Blume
• 36 min
  10. Biomarkers and surrogate endpoints in randomized clinical trials

  • Dr. Marc Buyse
• Randomization, Masking and Allocation Concealment
• 22 min
  11. Detection of and adjustment for selection bias in randomized controlled clinical trials

  • Prof. Lieven Nils Kennes
• 46 min
  12. Innovative and effective subject randomization methods

  • Prof. Wenle Zhao
• 12 min
  13. Selection bias in studies with unequal allocation

  • Dr. Olga M. Kuznetsova
• Archived Lectures *These may not cover the latest advances in the field
• 45 min
  14. Design and conduct of equivalence trials

  • Prof. Valerie Durkalski-Mauldin
• 19 min
  15. Dose-finding trials in oncology

  • Prof. Anastasia Ivanova
• 32 min
  16. Allocation concealment, prediction and selection bias

  • Prof. David Torgerson
• 41 min
  17. Pseudo cluster randomization

  • Dr. George Borm
• 26 min
  18. Introduction to flexible, adaptive trial design

  • Dr. Cyrus Mehta
• 30 min
  19. Randomization in clinical trials

  • Prof. William Rosenberger
• 35 min
  20. Novel methods for randomizing

  • Dr. William Grant
• 20 min
  21. Permutation tests

  • Dr. YanYan Zhou
• 59 min
  22. Handling multiplicity due to multiple primary or composite endpoints in clinical trials

  • Dr. Abdul Sankoh
• 32 min
  23. Multiple analyses in clinical trials

  • Prof. Lemuel Moye
• 26 min
  24. Handling of missing data in clinical trials

  • Dr. Linda Yau
• 35 min
  25. A note on the application of post-randomization adjustment

  • Dr. Xun Chen
• 24 min
  26. N-of-1 randomized clinical trials

  • Prof. Patrick Onghena

Printable Handouts

PDF

Navigable Slide Index

1. Introduction
2. Basic questions: randomization
3. Basic questions: restricted randomization
4. Possible randomization obstacles
5. Predictability-reducing methods
6. Covariate-adaptive methods
7. Response-adaptive methods
8. The need to reduce predictability
9. Considering randomization in 2-dimensional space
10. Efron-type biased coins
11. Efron-type biased coin randomization
12. Adaptive biased coins as draws from an urn
13. Adaptive biased coin randomization (urn method)
14. Big-stick rule
15. Biased-coin with imbalance tolerance
16. Nash-equilibrium-based randomization (1)
17. Nash-equilibrium-based randomization (2)
18. Nash-based procedure for MTI = 2, k = 1/8, N = 8
19. The maximal procedure (MP)
20. MP: each allowable path is equally likely
21. MP: resulting probabilities for N = 8, MTI = 2
22. The maximal procedure: conclusions
23. Part 2: covariate-adaptive randomization
24. Covariate-adaptive randomization
25. Minimization (Taves)
26. Biased-coin minimization (Pocock and Simon)
27. Hierarchical covariate-adaptive methods
28. Optimal biased-coin covariate-adaptive methods
29. Part 3: response-adaptive randomization (RAR)
30. Play-the-winner (Zelen)
31. Modified play-the-winner
32. Randomized play-the-winner (1)
33. Randomized play-the-winner (Wei & Duham)
34. Randomized play-the-winner (2)
35. Objections to RAR methods
36. Conclusions
37. References (1)
38. References (2)

Topics Covered

• Obstacles to standard methods of restricted randomization
• Biased coin methods
• Nash equilibrium
• The maximal procedure
• Covariate adaptive methods
• Response adaptive randomization
• Predictability and the potential for selection bias
• Efficiency of treatment effect estimators
• Patient welfare issues
• Optimal randomization

Links

Series:

• Design and Analysis of Randomized Clinical Trials

Categories:

• Methods
• Pharmaceutical Sciences

Talk Citation

Publication History

• Published on October 1, 2007
• Archived on May 31, 2018

Financial Disclosures

• Dr. William Grant has not informed HSTalks of any commercial/financial relationship that it is appropriate to disclose.