Optimal few-stage designs

Journal of Statistical Planning and Inference

Volumn 104, Issue 1, 2002, Pages 121-145

  Hardwick, Janis ^a   Stout, Quentin F ^a  

^a UNIVERSITY OF MICHIGAN   (United States)

Author keywords

Adaptive; Algorithms; Bandit; Clinical trials; Dynamic programming; Experimental design; Group allocation; Product of means; Sampling; Sequential analysis; Three stage; Two stage

Indexed keywords

EID: 0036568399     PISSN: 03783758     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0378-3758(01)00242-7     Document Type: Article

References (23)

1. Sequential medical trials
2. The search for optimality in clinical trials
3. On the allocation of treatments in sequential medical trials
4. Selecting one of two treatments when the responses are dichotomous
5. Multistage bandit problems
6. Group sequential strategies in two-stage bandit problems: Implications for clinical trial sample sizes
7. Two-stage bandits
8. A two-stage model for selecting one of two treatments
9. A two-stage procedure for the Behrens-Fisher problem
10. Sequential Estimation
11. Two-stage procedures for estimating the difference between means
12. Determining optimal few stage allocation rules
13. Optimal allocation for estimating the mean of a bivariate polynomial
14. Adaptive designs for estimation of success probabilities: Motivations and simulations
15. First order allocation
16. Allocation schemes for estimating the product of positive parameters
17. Allocation proportional to coefficients of variation when estimating the product of parameters
18. Adaptive allocation for estimation
19. A nearly optimal 2-stage procedure
20. A sequential analogue of the Behrens-Fisher problem
21. Adaptive treatment assignment methods and clinical trials
22. Optimal two stage procedures for estimating the product of two means
23. Sequential allocation for an estimation problem with ethical cost