Follow up after sample size re-estimation in a breast cancer randomized trial for disease-free survival
Abstract Background While the clinical trials and statistical methodology literature on sample size re-estimation (SSRE) is robust, evaluation of SSRE procedures following the completion of a clinical trial has been sparsely reported. In blinded sample size re-estimation, only nuisance parameters ar...
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doaj-9a516e20a4ec4407a8a8dcc04ba59f722020-11-25T03:49:15ZengBMCTrials1745-62152019-08-012011910.1186/s13063-019-3632-9Follow up after sample size re-estimation in a breast cancer randomized trial for disease-free survivalErinn M. Hade0Gregory S. Young1Richard R. Love2Department of Biomedical Informatics, Center for Biostatistics, College of Medicine, The Ohio State UniversityDepartment of Biomedical Informatics, Center for Biostatistics, College of Medicine, The Ohio State UniversityDepartment of Mathematics, Statistics, and Computer Science, Marquette UniversityAbstract Background While the clinical trials and statistical methodology literature on sample size re-estimation (SSRE) is robust, evaluation of SSRE procedures following the completion of a clinical trial has been sparsely reported. In blinded sample size re-estimation, only nuisance parameters are re-estimated, and the blinding of the current trial treatment effect is preserved. Blinded re-estimation procedures are well-accepted by regulatory agencies and funders. We review our experience of sample size re-estimation in a large international, National Institutes of Health funded clinical trial for adjuvant breast cancer treatment, and evaluate our blinded sample size re-estimation procedure for this time-to-event trial. We evaluated the SSRE procedure by examining assumptions made during the re-estimation process, estimates resulting from re-estimation, and the impact on final trial results with and without the addition of participants, following sample size re-estimation. Methods We compared the control group failure probabilities estimated at the time of SSRE to estimates used in the original planning, to the final un-blinded control group failure probability estimates for those included in the SSRE procedure (SSRE cohort), and to the final total control group failure probability estimates. The impact of re-estimation on the final comparison between randomized treatment groups is evaluated for those in the originally planned cohort (n = 340) and for the combination of those recruited in the originally planned cohort and those added after re-estimation (n = 509). Results Very little difference is observed between the originally planned cohort and all randomized patients in the control group failure probabilities over time or in the overall hazard ratio estimating treatment effect (originally planned cohort HR 1.25 (0.86, 1.79); all randomized cohort HR 1.24 95% CI (0.91, 1.68)). At the time of blinded SSRE, the estimated control group failure probabilities at 3 years (0.24) and 5 years (0.40) were similar to those for the SSRE cohort once un-blinded (3 years, 0.22 (0.16, 0.30); 5 years, 0.33 (0.26, 0.41)). Conclusions We found that our re-estimation procedure performed reasonably well in estimating the control group failure probabilities at the time of re-estimation. Particularly for time-to-event outcomes, pre-planned blinded SSRE procedures may be the best option to aid in maintaining power. Trial registration ClinicalTrials.gov, NCT00201851. Registered on 9 September 2005. Retrospectively registered.http://link.springer.com/article/10.1186/s13063-019-3632-9Blinded sample size re-estimationBreast cancerTime to eventControl group failure |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Erinn M. Hade Gregory S. Young Richard R. Love |
spellingShingle |
Erinn M. Hade Gregory S. Young Richard R. Love Follow up after sample size re-estimation in a breast cancer randomized trial for disease-free survival Trials Blinded sample size re-estimation Breast cancer Time to event Control group failure |
author_facet |
Erinn M. Hade Gregory S. Young Richard R. Love |
author_sort |
Erinn M. Hade |
title |
Follow up after sample size re-estimation in a breast cancer randomized trial for disease-free survival |
title_short |
Follow up after sample size re-estimation in a breast cancer randomized trial for disease-free survival |
title_full |
Follow up after sample size re-estimation in a breast cancer randomized trial for disease-free survival |
title_fullStr |
Follow up after sample size re-estimation in a breast cancer randomized trial for disease-free survival |
title_full_unstemmed |
Follow up after sample size re-estimation in a breast cancer randomized trial for disease-free survival |
title_sort |
follow up after sample size re-estimation in a breast cancer randomized trial for disease-free survival |
publisher |
BMC |
series |
Trials |
issn |
1745-6215 |
publishDate |
2019-08-01 |
description |
Abstract Background While the clinical trials and statistical methodology literature on sample size re-estimation (SSRE) is robust, evaluation of SSRE procedures following the completion of a clinical trial has been sparsely reported. In blinded sample size re-estimation, only nuisance parameters are re-estimated, and the blinding of the current trial treatment effect is preserved. Blinded re-estimation procedures are well-accepted by regulatory agencies and funders. We review our experience of sample size re-estimation in a large international, National Institutes of Health funded clinical trial for adjuvant breast cancer treatment, and evaluate our blinded sample size re-estimation procedure for this time-to-event trial. We evaluated the SSRE procedure by examining assumptions made during the re-estimation process, estimates resulting from re-estimation, and the impact on final trial results with and without the addition of participants, following sample size re-estimation. Methods We compared the control group failure probabilities estimated at the time of SSRE to estimates used in the original planning, to the final un-blinded control group failure probability estimates for those included in the SSRE procedure (SSRE cohort), and to the final total control group failure probability estimates. The impact of re-estimation on the final comparison between randomized treatment groups is evaluated for those in the originally planned cohort (n = 340) and for the combination of those recruited in the originally planned cohort and those added after re-estimation (n = 509). Results Very little difference is observed between the originally planned cohort and all randomized patients in the control group failure probabilities over time or in the overall hazard ratio estimating treatment effect (originally planned cohort HR 1.25 (0.86, 1.79); all randomized cohort HR 1.24 95% CI (0.91, 1.68)). At the time of blinded SSRE, the estimated control group failure probabilities at 3 years (0.24) and 5 years (0.40) were similar to those for the SSRE cohort once un-blinded (3 years, 0.22 (0.16, 0.30); 5 years, 0.33 (0.26, 0.41)). Conclusions We found that our re-estimation procedure performed reasonably well in estimating the control group failure probabilities at the time of re-estimation. Particularly for time-to-event outcomes, pre-planned blinded SSRE procedures may be the best option to aid in maintaining power. Trial registration ClinicalTrials.gov, NCT00201851. Registered on 9 September 2005. Retrospectively registered. |
topic |
Blinded sample size re-estimation Breast cancer Time to event Control group failure |
url |
http://link.springer.com/article/10.1186/s13063-019-3632-9 |
work_keys_str_mv |
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