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Block response-adaptive randomization in clinical trials with binary endpoints

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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Block response-adaptive randomization in clinical trials with binary endpoints. / Magirr, Dominic.
In: Pharmaceutical Statistics, Vol. 10, No. 4, 07.2011, p. 341-346.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Magirr, D 2011, 'Block response-adaptive randomization in clinical trials with binary endpoints', Pharmaceutical Statistics, vol. 10, no. 4, pp. 341-346. https://doi.org/10.1002/pst.471

APA

Magirr, D. (2011). Block response-adaptive randomization in clinical trials with binary endpoints. Pharmaceutical Statistics, 10(4), 341-346. https://doi.org/10.1002/pst.471

Vancouver

Magirr D. Block response-adaptive randomization in clinical trials with binary endpoints. Pharmaceutical Statistics. 2011 Jul;10(4):341-346. doi: 10.1002/pst.471

Author

Magirr, Dominic. / Block response-adaptive randomization in clinical trials with binary endpoints. In: Pharmaceutical Statistics. 2011 ; Vol. 10, No. 4. pp. 341-346.

Bibtex

@article{01b8c4c0892f4456befec7e9d8ba2b2e,
title = "Block response-adaptive randomization in clinical trials with binary endpoints",
abstract = "In a clinical trial, response-adaptive randomization (RAR) uses accumulating data to weigh the randomization of remaining patients in favour of the better performing treatment. The aim is to reduce the number of failures within the trial. However, many well-known RAR designs, in particular, the randomized play-the-winner-rule (RPWR), have a highly myopic structure which has sometimes led to unfortunate randomization sequences when used in practice.This paper introduces random permuted blocks into two RAR designs, the RPWR and sequential maximum likelihood estimation, for trials with a binary endpoint. Allocation ratios within each block are restricted to be one of 1:1, 2:1 or 3:1, preventing unfortunate randomization sequences. Exact calculations are performed to determine error rates and expected number of failures across a range of trial scenarios. The results presented show that when compared with equal allocation, block RAR designs give similar reductions in the expected number of failures to their unmodified counterparts. The reductions are typically modest under the alternative hypothesis but become more impressive if the treatment effect exceeds the clinically relevant difference",
keywords = "adaptive designs, randomized play-the-winner rule , sequential maximum likelihood estimation , random permuted blocks , expected treatment failures",
author = "Dominic Magirr",
year = "2011",
month = jul,
doi = "10.1002/pst.471",
language = "English",
volume = "10",
pages = "341--346",
journal = "Pharmaceutical Statistics",
issn = "1539-1604",
publisher = "John Wiley and Sons Ltd",
number = "4",

}

RIS

TY - JOUR

T1 - Block response-adaptive randomization in clinical trials with binary endpoints

AU - Magirr, Dominic

PY - 2011/7

Y1 - 2011/7

N2 - In a clinical trial, response-adaptive randomization (RAR) uses accumulating data to weigh the randomization of remaining patients in favour of the better performing treatment. The aim is to reduce the number of failures within the trial. However, many well-known RAR designs, in particular, the randomized play-the-winner-rule (RPWR), have a highly myopic structure which has sometimes led to unfortunate randomization sequences when used in practice.This paper introduces random permuted blocks into two RAR designs, the RPWR and sequential maximum likelihood estimation, for trials with a binary endpoint. Allocation ratios within each block are restricted to be one of 1:1, 2:1 or 3:1, preventing unfortunate randomization sequences. Exact calculations are performed to determine error rates and expected number of failures across a range of trial scenarios. The results presented show that when compared with equal allocation, block RAR designs give similar reductions in the expected number of failures to their unmodified counterparts. The reductions are typically modest under the alternative hypothesis but become more impressive if the treatment effect exceeds the clinically relevant difference

AB - In a clinical trial, response-adaptive randomization (RAR) uses accumulating data to weigh the randomization of remaining patients in favour of the better performing treatment. The aim is to reduce the number of failures within the trial. However, many well-known RAR designs, in particular, the randomized play-the-winner-rule (RPWR), have a highly myopic structure which has sometimes led to unfortunate randomization sequences when used in practice.This paper introduces random permuted blocks into two RAR designs, the RPWR and sequential maximum likelihood estimation, for trials with a binary endpoint. Allocation ratios within each block are restricted to be one of 1:1, 2:1 or 3:1, preventing unfortunate randomization sequences. Exact calculations are performed to determine error rates and expected number of failures across a range of trial scenarios. The results presented show that when compared with equal allocation, block RAR designs give similar reductions in the expected number of failures to their unmodified counterparts. The reductions are typically modest under the alternative hypothesis but become more impressive if the treatment effect exceeds the clinically relevant difference

KW - adaptive designs

KW - randomized play-the-winner rule

KW - sequential maximum likelihood estimation

KW - random permuted blocks

KW - expected treatment failures

U2 - 10.1002/pst.471

DO - 10.1002/pst.471

M3 - Journal article

VL - 10

SP - 341

EP - 346

JO - Pharmaceutical Statistics

JF - Pharmaceutical Statistics

SN - 1539-1604

IS - 4

ER -