203 related articles for article (PubMed ID: 12627413)
1. Mid-course sample size modification in clinical trials based on the observed treatment effect.
Jennison C; Turnbull BW
Stat Med; 2003 Mar; 22(6):971-93. PubMed ID: 12627413
[TBL] [Abstract][Full Text] [Related]
2. A note on the power of Fisher's least significant difference procedure.
Meier U
Pharm Stat; 2006; 5(4):253-63. PubMed ID: 17128424
[TBL] [Abstract][Full Text] [Related]
3. Issues in designing flexible trials.
Posch M; Bauer P; Brannath W
Stat Med; 2003 Mar; 22(6):953-69. PubMed ID: 12627412
[TBL] [Abstract][Full Text] [Related]
4. The reassessment of trial perspectives from interim data--a critical view.
Bauer P; Koenig F
Stat Med; 2006 Jan; 25(1):23-36. PubMed ID: 16220517
[TBL] [Abstract][Full Text] [Related]
5. Flexible two-stage design with sample size reassessment for survival trials.
Desseaux K; Porcher R
Stat Med; 2007 Nov; 26(27):5002-13. PubMed ID: 17577242
[TBL] [Abstract][Full Text] [Related]
6. Design of adaptive two-stage double-arm clinical trials for dichotomous variables.
Jiang Z; Xue F; Li C; Wang L; Cai H; Zhang C; Xia J
Contemp Clin Trials; 2010 May; 31(3):242-50. PubMed ID: 20172053
[TBL] [Abstract][Full Text] [Related]
7. Optimal conditional error functions for the control of conditional power.
Brannath W; Bauer P
Biometrics; 2004 Sep; 60(3):715-23. PubMed ID: 15339294
[TBL] [Abstract][Full Text] [Related]
8. Sequential designs for phase III clinical trials incorporating treatment selection.
Stallard N; Todd S
Stat Med; 2003 Mar; 22(5):689-703. PubMed ID: 12587100
[TBL] [Abstract][Full Text] [Related]
9. Seven ways to increase power without increasing N.
Hansen WB; Collins LM
NIDA Res Monogr; 1994; 142():184-95. PubMed ID: 9243537
[TBL] [Abstract][Full Text] [Related]
10. Flexible design of two-stage adaptive procedures for phase III clinical trials.
Koyama T
Contemp Clin Trials; 2007 Jul; 28(4):500-13. PubMed ID: 17307399
[TBL] [Abstract][Full Text] [Related]
11. Self-designing trial combined with classical group sequential monitoring.
Yin G; Shen Y
J Biopharm Stat; 2005; 15(4):667-75. PubMed ID: 16022171
[TBL] [Abstract][Full Text] [Related]
12. An adaptive design to bridge the gap between Phase 2b/3 microbicide effectiveness trials and evidence required for licensure.
Taylor DJ; Grobler A; Abdool Karim SS
Clin Trials; 2012 Aug; 9(4):377-84. PubMed ID: 22610168
[TBL] [Abstract][Full Text] [Related]
13. Adaptive designs for confirmatory clinical trials.
Bretz F; Koenig F; Brannath W; Glimm E; Posch M
Stat Med; 2009 Apr; 28(8):1181-217. PubMed ID: 19206095
[TBL] [Abstract][Full Text] [Related]
14. Group-sequential methods for adaptive seamless phase II/III clinical trials.
Stallard N
J Biopharm Stat; 2011 Jul; 21(4):787-801. PubMed ID: 21516569
[TBL] [Abstract][Full Text] [Related]
15. A small p-value from an observed data is not evidence of adequate power for future similar-sized studies: a cautionary note.
Atenafu EG; Hamid JS; Stephens D; To T; Beyene J
Contemp Clin Trials; 2009 Mar; 30(2):155-7. PubMed ID: 19063996
[TBL] [Abstract][Full Text] [Related]
16. Comparison of four sequential methods allowing for early stopping of comparative clinical trials.
Sebille V; Bellissant E
Clin Sci (Lond); 2000 May; 98(5):569-78. PubMed ID: 10781388
[TBL] [Abstract][Full Text] [Related]
17. A practical comparison of group-sequential and adaptive designs.
Kelly PJ; Sooriyarachchi MR; Stallard N; Todd S
J Biopharm Stat; 2005; 15(4):719-38. PubMed ID: 16022175
[TBL] [Abstract][Full Text] [Related]
18. Efficient group sequential designs when there are several effect sizes under consideration.
Jennison C; Turnbull BW
Stat Med; 2006 Mar; 25(6):917-32. PubMed ID: 16220524
[TBL] [Abstract][Full Text] [Related]
19. Adaptive design and estimation in randomized clinical trials with correlated observations.
Yin G; Shen Y
Biometrics; 2005 Jun; 61(2):362-9. PubMed ID: 16011682
[TBL] [Abstract][Full Text] [Related]
20. Standard versus adaptive monitoring procedures: A commentary.
Fleming TR
Stat Med; 2006 Oct; 25(19):3305-12; discussion 3313-4, 3326-47. PubMed ID: 16850447
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
