Adaptive biased-coin designs for clinical trials with several treatments
Discussiones Mathematicae Probability and Statistics (2004)
- Volume: 24, Issue: 1, page 85-108
- ISSN: 1509-9423
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topAnthony C. Atkinson. "Adaptive biased-coin designs for clinical trials with several treatments." Discussiones Mathematicae Probability and Statistics 24.1 (2004): 85-108. <http://eudml.org/doc/287699>.
@article{AnthonyC2004,
abstract = {Adaptive designs are used in phase III clinical trials for skewing the allocation pattern towards the better treatments. We use optimum design theory to provide a skewed biased-coin procedure for sequential designs with continuous responses. The skewed designs are used to provide adaptive designs, the performance of which is studied numerically for designs with three treatments. Important properties are loss and the proportion of allocation to inferior treatments. Regularisation to provide consistent parameter estimates greatly improves both these properties.},
author = {Anthony C. Atkinson},
journal = {Discussiones Mathematicae Probability and Statistics},
keywords = {c-optimal design; limiting allocation proportion; minimization; randomization; regularisation; -optimal design; skewed allocations},
language = {eng},
number = {1},
pages = {85-108},
title = {Adaptive biased-coin designs for clinical trials with several treatments},
url = {http://eudml.org/doc/287699},
volume = {24},
year = {2004},
}
TY - JOUR
AU - Anthony C. Atkinson
TI - Adaptive biased-coin designs for clinical trials with several treatments
JO - Discussiones Mathematicae Probability and Statistics
PY - 2004
VL - 24
IS - 1
SP - 85
EP - 108
AB - Adaptive designs are used in phase III clinical trials for skewing the allocation pattern towards the better treatments. We use optimum design theory to provide a skewed biased-coin procedure for sequential designs with continuous responses. The skewed designs are used to provide adaptive designs, the performance of which is studied numerically for designs with three treatments. Important properties are loss and the proportion of allocation to inferior treatments. Regularisation to provide consistent parameter estimates greatly improves both these properties.
LA - eng
KW - c-optimal design; limiting allocation proportion; minimization; randomization; regularisation; -optimal design; skewed allocations
UR - http://eudml.org/doc/287699
ER -
References
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