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Journal of Biopharmaceutical Statistics Volume 30, 2020 - Issue 2
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Research Article

A Bayesian zero-inflated binomial regression and its application in dose-finding study

Puntipa Wanitjirattikala Department of Statistics, King Mongkut’sInstitute of Technology Ladkrabang, Bangkok, ThailandORCID Iconhttps://orcid.org/0000-0002-1190-115XView further author information
ORCID Icon &
Chenyang Shib Department of Biostatistics, Celgene Corporation, Berkeley Heights, USACorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-7037-9744View further author information
ORCID Icon
Pages 322-333 | Received 30 Mar 2019, Accepted 16 Aug 2019, Published online: 06 Nov 2019

References

  • Babb, J. R. 1998. Cancer phase I clinical trials: Efficient dose escalation with overdose control. Statistics in Medicine 17 (10):1103–1120. doi:10.1002/(SICI)1097-0258(19980530)17:10<1103::AID-SIM793>3.0.CO;2-9.
  • Bailey, S. N. 2009. A Bayesian case study in oncology phase I combination dose-finding using logistic regression with covariates. Journal of Biopharmaceutical Statistics 19 (3):469–484. doi:10.1080/10543400902802409.
  • Ghosh, S. K. 2006. Bayesian analysis of zero-inflated regression models. Journal of Statistical Planning and Inference 136 (4):1360–1375. doi:10.1016/j.jspi.2004.10.008.
  • Guédé, D. R. 2014. Bayesian adaptive designs in single ascending dose trials in healthy volunteers. British Journal of Clinical Pharmacology 78 (2):393–400. doi:10.1111/bcp.12344.
  • Hall, D. B. 2000. Zero‐inflated Poisson and binomial regression with random effects: A case study. Biometrics 56 (4):1030–1039. doi:10.1111/j.0006-341X.2000.01030.x.
  • Hoff, P. D. 2009. A first course in Bayesian statistical methods. New York: Springer.
  • Lambert, D. 1992. Zero-inflated Poisson regression, with an application to defects in manufacturing. Technometrics 34 (1):1–14. doi:10.2307/1269547.
  • Metropolis, N. R. 1953. Equation of state calculations by fast computing machines. The Journal of Chemical Physics 21 (6):1087–1092. doi:10.1063/1.1699114.
  • Neuenschwander, B. B. 2008. Critical aspects of the Bayesian approach to phase I cancer trials. Statistics in Medicine 27 (13):2420–2439. doi:10.1002/sim.3230.
  • Neuenschwander, B. M. 2015. Bayesian industry approach to phase I combination trials in oncology. In Statistical methods in drug combination studies, ed. H. Y. Wei Zhao, 95–135, CRC Press.
  • O’Quigley, J. P. 1990. Continual reassessment method: A practical design for phase 1 clinical trials in cancer. Biometrics:33–48. doi:10.2307/2531628.
  • Tibaldi, F. S. 2008. Implementation of a Phase 1 adaptive clinical trial in a treatment of type 2 diabetes. Drug Information Journal 42 (5):455–465. doi:10.1177/009286150804200506.
  • Tighiouart, M. R. 2005. Flexible Bayesian methods for cancer phase I clinical trials. Dose escalation with overdose control. Statistics in Medicine 24 (14):2183–2196.

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