메뉴 건너뛰기




Volumn 27, Issue 13, 2008, Pages 2290-2306

Robust Bayesian sample size determination in clinical trials

Author keywords

contaminated priors; Analysis and design priors; Bayesian power; Bayesian robustness; Conditional and predictive power; Evidence; Phase II and Phase III clinical trials; Sample size determination

Indexed keywords

ARTICLE; BAYES THEOREM; CLINICAL RESEARCH; CONTROLLED STUDY; CRITERION VARIABLE; HAZARD RATIO; MATHEMATICAL PARAMETERS; METHODOLOGY; PREDICTION; PROBABILITY; SAMPLE SIZE; SENSITIVITY ANALYSIS; STATISTICAL ANALYSIS; STATISTICAL MODEL;

EID: 44949250001     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.3175     Document Type: Article
Times cited : (51)

References (32)
  • 2
    • 84972528615 scopus 로고
    • Bayesian experimental design: A review
    • Chaloner K, Verdinelli I. Bayesian experimental design: a review. Statistical Science 1995; 10:237-308.
    • (1995) Statistical Science , vol.10 , pp. 237-308
    • Chaloner, K.1    Verdinelli, I.2
  • 3
    • 0022592003 scopus 로고
    • A predictive approach to selecting the size of a clinical trial, based on subjective clinical opinion
    • Spiegelhalter DJ, Freedman LS. A predictive approach to selecting the size of a clinical trial, based on subjective clinical opinion. Statistics in Medicine 1986; 5:1-13.
    • (1986) Statistics in Medicine , vol.5 , pp. 1-13
    • Spiegelhalter, D.J.1    Freedman, L.S.2
  • 4
    • 0030903282 scopus 로고    scopus 로고
    • Bayesian and mixed Bayesian/likelihood criteria for sample size determination
    • Joseph L, du Berger R, Belisle P. Bayesian and mixed Bayesian/likelihood criteria for sample size determination. Statistics in Medicine 1997; 16:769-781.
    • (1997) Statistics in Medicine , vol.16 , pp. 769-781
    • Joseph, L.1    du Berger, R.2    Belisle, P.3
  • 6
    • 0002917149 scopus 로고
    • The robust Bayesian viewpoint (with Discussion)
    • Kadane J ed, North-Holland: Amsterdam
    • Berger JO. The robust Bayesian viewpoint (with Discussion). In Robustness of Bayesian Analysis, Kadane J (ed). North-Holland: Amsterdam, 1984.
    • (1984) Robustness of Bayesian Analysis
    • Berger, J.O.1
  • 8
    • 2942674087 scopus 로고    scopus 로고
    • Bayesian robustness
    • Robust Bayesian analysis, Rios D, Ruggeri F eds, Springer: New York
    • Berger JO, Rios Insua D, Ruggeri F. Bayesian robustness. In Robust Bayesian analysis, Lecture Notes in Statistics, vol. 152. Rios D, Ruggeri F (eds). Springer: New York, 2000.
    • (2000) Lecture Notes in Statistics , vol.152
    • Berger, J.O.1    Rios Insua, D.2    Ruggeri, F.3
  • 9
    • 0000083758 scopus 로고
    • Recent methodological advances in robust Bayesian inference
    • Berger JO, Bernardo JM, Dawid AP, Smith AFM eds, Oxford University Press: Oxford
    • Wasserman L. Recent methodological advances in robust Bayesian inference. In Bayesian Statistic 4, Berger JO, Bernardo JM, Dawid AP, Smith AFM (eds). Oxford University Press: Oxford, 1992.
    • (1992) Bayesian Statistic 4
    • Wasserman, L.1
  • 10
    • 0029045966 scopus 로고
    • Robust Bayesian methods for monitoring clinical trials
    • Greenhouse JB, Wasserman L. Robust Bayesian methods for monitoring clinical trials. Statistics in Medicine 1995; 14:1379-1391.
    • (1995) Statistics in Medicine , vol.14 , pp. 1379-1391
    • Greenhouse, J.B.1    Wasserman, L.2
  • 11
    • 33645502906 scopus 로고    scopus 로고
    • A practical robust method for Bayesian model selection: A case study in the analysis of clinical trials (with Discussion)
    • Bayesian Robustness: Proceedings of the Workshop on Bayesian Robustness, Berger JO et al, eds, IMS: Hayward, CA
    • Greenhouse JB, Wasserman L. A practical robust method for Bayesian model selection: a case study in the analysis of clinical trials (with Discussion). In Bayesian Robustness: Proceedings of the Workshop on Bayesian Robustness, vol. 29, Berger JO et al. (eds), IMS Lecture Notes - Monograph Series. IMS: Hayward, CA, 1996; 331-342.
    • (1996) IMS Lecture Notes - Monograph Series , vol.29 , pp. 331-342
    • Greenhouse, J.B.1    Wasserman, L.2
  • 12
    • 0346810010 scopus 로고    scopus 로고
    • Robust Bayesian analysis in medical and epidemiological settings
    • In em Robust Bayesian Analysis, Rios D, Ruggeri F eds, Springer: New York
    • Carlin BP, Perez ME. Robust Bayesian analysis in medical and epidemiological settings. In em Robust Bayesian Analysis, Rios D, Ruggeri F (eds), Lecture Notes in Statistics, vol. 152. Springer: New York, 2000.
    • (2000) Lecture Notes in Statistics , vol.152
    • Carlin, B.P.1    Perez, M.E.2
  • 13
    • 0029898589 scopus 로고    scopus 로고
    • Robust Bayesian approaches for clinical trails monitoring
    • Carlin BP, Sargent DJ, Robust Bayesian approaches for clinical trails monitoring. Statistics in Medicine 1996; 15:1093-1106.
    • (1996) Statistics in Medicine , vol.15 , pp. 1093-1106
    • Carlin, B.P.1    Sargent, D.J.2
  • 14
    • 0040899812 scopus 로고    scopus 로고
    • Robust Bayesian design and analysis of clinical trials via prior partitioning (with Discussion)
    • Bayesian Robustness: Proceedings of the Workshop on Bayesian Robustness, Berger JO et al, eds, IMS: Hayward, CA
    • Sargent DJ, Carlin BP. Robust Bayesian design and analysis of clinical trials via prior partitioning (with Discussion). In Bayesian Robustness: Proceedings of the Workshop on Bayesian Robustness, vol. 29, Berger JO et al. (eds). IMS Lecture Notes - L.Monograph Series. IMS: Hayward, CA, 1996; 331-342.
    • (1996) IMS Lecture Notes - L.Monograph Series , vol.29 , pp. 331-342
    • Sargent, D.J.1    Carlin, B.P.2
  • 15
    • 0001163310 scopus 로고
    • Ranges of posterior measures for priors with unimodal contaminations
    • Sivaganesan S, Berger JO. Ranges of posterior measures for priors with unimodal contaminations. Annals of Statistics 1989; 17:868-889.
    • (1989) Annals of Statistics , vol.17 , pp. 868-889
    • Sivaganesan, S.1    Berger, J.O.2
  • 16
    • 0041419339 scopus 로고    scopus 로고
    • A simulation-based approach to Bayesian sample size determination for performance under a given model and for separating models
    • Wang F, Gelfand AE. A simulation-based approach to Bayesian sample size determination for performance under a given model and for separating models. Statistical Science 2002; 17(2):193-208.
    • (2002) Statistical Science , vol.17 , Issue.2 , pp. 193-208
    • Wang, F.1    Gelfand, A.E.2
  • 18
    • 0042360187 scopus 로고    scopus 로고
    • Design and Analysis of Experiments. Handbook of Statistics
    • Elsevier: Amsterdam
    • DasGupta A. Review of optimal Bayes designs. Design and Analysis of Experiments. Handbook of Statistics, vol. 13. Elsevier: Amsterdam, 1996; 1099-1148.
    • (1996) Review of optimal Bayes designs , vol.13 , pp. 1099-1148
    • DasGupta, A.1
  • 19
    • 0346613486 scopus 로고    scopus 로고
    • Bayesian sample size determination for normal means and difference between normal means
    • Joseph L, Belisle P. Bayesian sample size determination for normal means and difference between normal means. The Statistician 1997; 46:209-226.
    • (1997) The Statistician , vol.46 , pp. 209-226
    • Joseph, L.1    Belisle, P.2
  • 20
    • 33747197400 scopus 로고    scopus 로고
    • A closed form expression for Bayesian sample sizes
    • Clarke BS, Yuan A. A closed form expression for Bayesian sample sizes. Annals of Statistics 2006; 34(3): 1293-1330.
    • (2006) Annals of Statistics , vol.34 , Issue.3 , pp. 1293-1330
    • Clarke, B.S.1    Yuan, A.2
  • 23
    • 33645519833 scopus 로고    scopus 로고
    • Sample size determination for robust Bayesian analysis
    • De Santis F. Sample size determination for robust Bayesian analysis. Journal of the American Statistical Association 2006; 101(473):278-291.
    • (2006) Journal of the American Statistical Association , vol.101 , Issue.473 , pp. 278-291
    • De Santis, F.1
  • 24
    • 39449122691 scopus 로고    scopus 로고
    • Robust Bayesian sample size determination for avoiding the range of equivalence in clinical trials
    • DOI: 10.1016/ j.jspi.2007.05.041
    • Brutti P. De Santis F. Robust Bayesian sample size determination for avoiding the range of equivalence in clinical trials. The Journal of Statistical Planning and Inference 2007; DOI: 10.1016/ j.jspi.2007.05.041.
    • (2007) The Journal of Statistical Planning and Inference
    • Brutti, P.1    De Santis, F.2
  • 25
    • 0346983718 scopus 로고    scopus 로고
    • The choice of sample size
    • Lindley DV. The choice of sample size. The Statistician 1997; 46:129-138.
    • (1997) The Statistician , vol.46 , pp. 129-138
    • Lindley, D.V.1
  • 28
    • 0035019379 scopus 로고    scopus 로고
    • Bayesian assessment of sample size for clinical trials for cost effectiveness
    • O'Hagan A, Stevens JW. Bayesian assessment of sample size for clinical trials for cost effectiveness. Medical Decision Making 2001; 21:219-230.
    • (2001) Medical Decision Making , vol.21 , pp. 219-230
    • O'Hagan, A.1    Stevens, J.W.2
  • 29
    • 33845740762 scopus 로고    scopus 로고
    • Using historical data for Bayesian sample size determination
    • De Santis F. Using historical data for Bayesian sample size determination. Journal of the Royal Statistical Society, Series A 2007; 170(1):95-113.
    • (2007) Journal of the Royal Statistical Society, Series A , vol.170 , Issue.1 , pp. 95-113
    • De Santis, F.1
  • 30
    • 0000540568 scopus 로고
    • Robust Bayes and empirical Bayes analysis with -̇contaminated priors
    • Berger JO, Berliner LM. Robust Bayes and empirical Bayes analysis with -̇contaminated priors. Annals of Statistics 1986; 14:461-486.
    • (1986) Annals of Statistics , vol.14 , pp. 461-486
    • Berger, J.O.1    Berliner, L.M.2
  • 31
    • 0010888261 scopus 로고
    • Sensitivity of posterior mean to unimodality preserving contaminations
    • Sivaganesan S. Sensitivity of posterior mean to unimodality preserving contaminations. Statistics and Decisions 1989; 7(1-2):77-93.
    • (1989) Statistics and Decisions , vol.7 , Issue.1-2 , pp. 77-93
    • Sivaganesan, S.1
  • 32
    • 0009064192 scopus 로고    scopus 로고
    • Implications of reference priors for prior information and for sample size
    • Clarke B. Implications of reference priors for prior information and for sample size. Journal of the American Statistical Association 1996; 91(433):173-184.
    • (1996) Journal of the American Statistical Association , vol.91 , Issue.433 , pp. 173-184
    • Clarke, B.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.