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Navigable Slide Index

1. Introduction
2. Outline
3. Post-randomization adjustment
4. Why post-randomization adjustment?
5. Example (1)
6. Example (2)
7. Regression based method
8. A scheme demonstrating the two models (1)
9. Concerns on the conventional method (I)
10. A scheme demonstrating the two models (2)
11. Concerns on the conventional method (II)
12. Concerns on the conventional method (III)
13. Conventional method (III) - continue
14. Alternative methods (I)
15. Alternative methods (II)
16. Alternative methods (II) - continue
17. Alternative methods (III)
18. Alternative methods (III) - continue
19. Simulation
20. Simulation (cont.): conventional regression method
21. Simulation (cont.): simple stratification (1)
22. FGP/TG values distribution in 4 sub-groups (1)
23. Simulation (cont.): simple stratification (2)
24. Simulation (cont.): principle stratification (1)
25. FGP/TG values distribution in 4 sub-groups (2)
26. Simulation (cont.): principle stratification (2)
27. Conclusions
28. References

Topics Covered

• Adjustment for post-randomization variables: uses in practice to obtain additional information in randomized experiments
• Potential problems of the conventional regression based post-randomization adjustment method: reliability, precision and causality
• Available alternative methods that could provide either more powerful, less biased evaluation or more appropriate assessment for causality
• Examples of the application of the different post-randomization adjustment methods

Links

Series:

• Design and Analysis of Randomized Clinical Trials

Categories:

• Methods
• Pharmaceutical Sciences

Talk Citation

Chen, X. (2007, October 1). A note on the application of post-randomization adjustment [Video file]. In The Biomedical & Life Sciences Collection, Henry Stewart Talks. Retrieved April 16, 2024, from https://hstalks.com/bs/551/.
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Publication History

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

Financial Disclosures

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