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Development of Interactive Software for Bayesian Optimal Phase 1 Clinical Trial Design

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References

  1. Perevozskaya I. Constrained Bayesian Optimal Designs for Phase / Clinical Trials. Baltimore: University of Maryland; 2001 (doctoral dissertation).

    Google Scholar 

  2. Haines LM, Perevozskaya I, Rosenbergcr WF. Bayesian optimal designs for phase I clinical trials. Biometrics. 2003;59:591–600.

    Article  Google Scholar 

  3. Rosenberger WF. Haines LM. Competing designs for phase I clinical trials: a review. Stat Med. 2002;21:2757–2770.

    Article  Google Scholar 

  4. Atkinson AC. Donev AN. Optimum Experimental Designs. Oxford, United Kingdom: Clarendon: 1992.

    Google Scholar 

  5. Clyde M, Chaloner K. The equivalence of constrained and weighted designs in multiple objective problems. J Am Stat Assoc. 1996;91:1236–1244.

    Article  Google Scholar 

  6. Babb J, Rogalko A, Zacks S. Cancer phase I clinical trials: efficient dose escalation with overdose control. Stat Mad. 1994;17:1103–1120.

    Article  Google Scholar 

  7. Whitehead J. Brunier H. Bayesian decision procedures for dose determining experiments. Stat Med. 1995;14:885–893.

    Article  CAS  Google Scholar 

  8. Whitehead J. Williamson D. Bayesian decision procedures based on logistic regression models for dose-finding studies. Stat Med. 1998;8:445–467.

    CAS  Google Scholar 

  9. Pukelsheim F. Optimal Design of Experiments. New York: Wiley; 1993.

    Google Scholar 

  10. Flournoy N. A clinical experiment in bone marrow transplantation: estimating a percentage point of a quantal response curve. In Case Studies in Bayesian Statistics. Gatsonis C, Hodges JS, Kass RE, Singpurwalla ND, eds. New York: Springer; 1993.

    Google Scholar 

  11. Tsutakawa RK, Bayesian inference for bioassay. Technical Report 52. Columbia, MO: University of Missouri; 1975.

    Google Scholar 

  12. Whitehead J, Zhou Y, Patterson S, Webber D, Francis S. Easy-to-implement Bayesian methods for dose-escalation studies in healthy volunteers. Biostatistics. 2001;2:47–61.

    Article  CAS  Google Scholar 

  13. McLeish DL, Tosh D. Sequential designs in bioassay. Biometrics. 1990;46:103–116.

    Article  Google Scholar 

  14. Silvapulle M. On the existence of maximum likelihood estimators for the binomial response models. J Roy Stat Soc. B. 1981;43:310–313.

    Google Scholar 

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Authors and Affiliations

  1. Department of Mathematics and Statistics, University of Maryland, Baltimore County, 1000 Hilltop Circle, Baltimore, MD, 21250, USA

    William F. Rosenberger PhD (Professor, Adjunct Professor)

  2. Department of Epidemiology and Preventive Medicine, University of Maryland School of Medicine, Baltimore, Maryland, USA

    William F. Rosenberger PhD (Professor, Adjunct Professor)

  3. Department of Information Systems, University of Maryland, Baltimore County, Baltimore, Maryland, USA

    Gerald C. Canfield PhD (Associate Professor)

  4. Merck and Co., Rahway, New Jersey, USA

    Inna Perevozskaya PhD (Biometrician)

  5. Statistics and Biometry Program, School of Mathematics, Statistics, and Information Technology, University of Kwazulu-Natal, Pietermaritzburg, South Africa

    Linda M. Haines PhD (Professor, Head of Discipline and Programme Director)

  6. Department of Medicine, Greenebaum Cancer Center, University of Maryland Medical School, Baltimore, Maryland, USA

    Petr Hausner MD (Assistant Professor, Chief of Hematology-Oncology)

  7. VA Medical Center, Baltimore, Maryland, USA

    Petr Hausner MD (Assistant Professor, Chief of Hematology-Oncology)

Authors
  1. William F. Rosenberger PhD
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  2. Gerald C. Canfield PhD
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  3. Inna Perevozskaya PhD
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  4. Linda M. Haines PhD
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  5. Petr Hausner MD
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Corresponding author

Correspondence to William F. Rosenberger PhD.

Additional information

Grant support: Rosenberger, Canfield, and Hausner were supported by grant RO1-CA 87746 from the National Cancer Institute. Haines was supported by the University of Natal and the National Research foundation of South Africa.

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Rosenberger, W.F., Canfield, G.C., Perevozskaya, I. et al. Development of Interactive Software for Bayesian Optimal Phase 1 Clinical Trial Design. Ther Innov Regul Sci 39, 89–98 (2005). https://doi.org/10.1177/009286150503900112

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  • DOI: https://doi.org/10.1177/009286150503900112

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