Abstract
Optimal critical values and times of intermediate testing points are determined to minimize expected sample size in a variety of situations. Two- stage and three-stage models are considered for a variety of values of power. We investigate the robustness of the optimality parameters.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 763-772 |
| Number of pages | 10 |
| Journal | Biometrics |
| Volume | 49 |
| Issue number | 3 |
| State | Published - 1993 |
| Externally published | Yes |
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ASJC Scopus subject areas
- Agricultural and Biological Sciences(all)
- Agricultural and Biological Sciences (miscellaneous)
- Applied Mathematics
- Statistics and Probability
- Public Health, Environmental and Occupational Health
Cite this
Optimization of multistage testing times and critical values in clinical trials. / Brittain, E. H.; Bailey, Kent R.
In: Biometrics, Vol. 49, No. 3, 1993, p. 763-772.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Optimization of multistage testing times and critical values in clinical trials
AU - Brittain, E. H.
AU - Bailey, Kent R
PY - 1993
Y1 - 1993
N2 - Optimal critical values and times of intermediate testing points are determined to minimize expected sample size in a variety of situations. Two- stage and three-stage models are considered for a variety of values of power. We investigate the robustness of the optimality parameters.
AB - Optimal critical values and times of intermediate testing points are determined to minimize expected sample size in a variety of situations. Two- stage and three-stage models are considered for a variety of values of power. We investigate the robustness of the optimality parameters.
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UR - http://www.scopus.com/inward/citedby.url?scp=0027507502&partnerID=8YFLogxK
M3 - Article
VL - 49
SP - 763
EP - 772
JO - Biometrics
JF - Biometrics
SN - 0006-341X
IS - 3
ER -