Abstract
In recent years, multiregional clinical trial (MRCT) has become a preferred strategy to develop new medicines. Implementing the same protocol to include subjects from many geographical regions around the world, MRCTs could speed up the patient enrollment, thus resulted in a quicker drug development and obtain faster approval of the drug globally. At the same time, the MRCT strategy is expected to maintain the sample size at the similar level, i.e., without significantly driving up the cost and slowing down the speed of the development.
Chi-Tian Chen, Hsiao-Hui Tsou: These authors contributed equally to this research.
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References
Chen, C. T., Hung, H. M. J., & Hsiao, C. F. (2012). Design and evaluation of multiregional trials with heterogeneous treatment effect across regions. Journal of Biopharmaceutical Statistics, 22, 1037–1050.
Chen, J., Quan, H., Binkowitz, B., Ouyang, S. P., Tanaka, Y., Li, G., Menjoge, S., Ibia, E. (2010). for the Consistency Workstream of the PhRMA MRCT key issue team. Assessing consistent treatment effect in a multi-regional clinical trial: A systematic review. Pharmaceutical Statistics, 9, 242–253. https://doi.org/10.1002/pst.438.
DerSimonian, R., & Laird, N. (1986). Meta-analysis in clinical trials. Controlled Clinical Trials, 7, 177–188.
Dunder, K. (2009). Issues on acceptance of foreign clinical data in Europe from a regulatory perspective 2009. In 9th Kitasato University-Harvard School of Public Health Symposium.
EMA, Epar, scientific discussion, variation application for clopidogrel 2015.
Fukuoka, M., Yano, S., Giaccone, G., Tamura, T., Nakagawa, K., Douillard, J. Y., et al. (2003). Multi-institutional randomized phase II trial of gefitinib for previously treated patients with advanced non-small-cell lung cancer (The IDEAL 1 Trial). Journal of Clinical Oncology, 21, 2237–2246.
Hung, H. M. J., Wang, S. J., & O’Neill, R. T. (2010). Consideration of regional difference in design and analysis of multi-regional trials. Pharmaceutical Statistics, 24, 173–178. https://doi.org/10.1002/pst.440.
International Concil for Harmonization of Technical Requirement for Pharmaceuticals for Human Use, ICH E17. (2016). General Principles for Planning and Design of Multi-regional Clinical Trials (draft).
Kawai, N., Stein, C., Komiyama, O., & Li, Y. (2008). An approach to rationalize partitioning sample size into individual regions in a multiregional trial. Drug Information Journal, 42, 139–147.
Ko, F. S., Tsou, H. H., Liu, J. P., & Hsiao, C. F. (2010). Sample size determination for a specific region in a multi-regional trial. Journal of Biopharmaceutical Statistics, 24, 870–885.
Lan, K. K. G., & Pinheiro, J. (2012). Combined estimation of treatment effects under a discrete random effects model. Statistics in Biosciences, 4, 235–244.
Lan, K. K. G., Pinheiro, J., & Chen, F. (2014). Designing multiregional trials under the discrete random effects model. Journal of Biopharmaceutical Statistics, 24, 415–428.
Liu, J. T., Tsou, H. H., Lan Gordon, K. K., Chen, C. T., Lai, Y. H., Chang, W. J., Tzeng, C. S., Hsiao, C. F. (2016, June). Assessing the consistency of the treatment effect under the discrete random effects model in multiregional clinical trials. Statistics in Medicine, 35(14), 2301–2314.
Ministry of Health, Labour and Welfare of Japan (MHLW). Basic principles on global clinical trials 2007. Available at http://www.pmda.go.jp/files/000153265.pdf. Accessed date May 4, 2017.
Quan, H., Li, M., Chen, J., Gallo, P., Binkowitz, B., Lbia, E., et al. (2010b). Assessment of consistency of treatment effects in multiregional clinical trials. Drug Information Journal, 44, 617–632.
Quan, H., Li, M., Shih, W. J., Ouyang, S. P., Chen, J., Zhang, J., et al. (2013). Empirical shrinkage estimator for consistency assessment of treatment effects in multi-regional clinical trials. Statistics in Medicine, 32, 1691–1706. https://doi.org/10.1002/sim.5543.
Quan, H., Mao, X., Tanaka, Y., Binkowitz, B., Li, G., Chen, J., et al. (2017). Example-based illustrations of design, conduct, analysis and result interpretation of multi-regional clinical trials. Contemporary Clinical Trials, 58, 13–22.
Quan, H., Zhao, P. L., Zhang, J., Roessner, M., & Aizawa, K. (2010a). Sample size considerations for Japanese patients in a multi-regional trial based on MHLW Guidance. Pharmaceutical Statistics, 9, 100–112. https://doi.org/10.1002/pst.380.
Shun, Z., Lan, K. K. G., Soo, Y. (2008). Interim treatment selection using the normal approximation approach in clinical trials. Statistics in Medicine, 27(4).
Tanaka, Y., Li, G., Wang, Y., & Chen, J. (2012). Qualitative consistency of treatment effects in multiregional clinical trials. Journal of Biopharmaceutical Statistics, 22, 988–1000.
Tsou, H. H., Chien, T. Y., Liu, J. P., & Hsiao, C. F. (2011). A consistency approach to evaluation of bridging studies and multiregional trials. Statistics in Medicine, 30, 2171–2186.
Tsou, H. H., Chow, S. C., Lan, K. K. G., Liu, J. P., Wang, M., Chen, H. D., et al. (2010). Proposals of statistical consideration to evaluation of results for a specific region in multi-regional trials—Asian Perspective. Pharmaceutical Statistics, 9, 201–206. https://doi.org/10.1002/pst.442.
Tsou, H. H., Hung, H. M. J., Chen, Y. M., Huang, W. S., Chang, W. J., & Hsiao, C. F. (2012). Establishing consistency across all regions in a multi-regional clinical trial. Pharmaceutical Statistics, 11, 295–299. https://doi.org/10.1002/pst.1512.
Uesaka, H. (2009). Sample size allocation to regions in a multiregional trial. Journal of Biopharmaceutical Statistics, 19, 580–594.
Wang, S. J., & Hung, H. M. J. (2012). Ethnic sensitive or molecular sensitive beyond all regions being equal in multiregional clinical trials. Journal of Biopharmaceutical Statistics, 22, 879–893.
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Chen, CT. et al. (2018). Design and Data Analysis of Multiregional Clinical Trials (MRCTs)—Theory and Practice. In: Peace, K., Chen, DG., Menon, S. (eds) Biopharmaceutical Applied Statistics Symposium . ICSA Book Series in Statistics. Springer, Singapore. https://doi.org/10.1007/978-981-10-7829-3_10
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