메뉴 건너뛰기




Volumn 28, Issue 9, 2009, Pages 1339-1352

Bayesian decision sequential analysis with survival endpoint in phase II clinical trials

Author keywords

Bayesian sequential; Clinical trials; Decision theory; Interim analysis; Time to event

Indexed keywords

ARTICLE; BAYES THEOREM; CLINICAL STUDY; DATA ANALYSIS; EXPERIMENTAL DESIGN; LINEAR SYSTEM; MATHEMATICAL ANALYSIS; MATHEMATICAL COMPUTING; POWER OF A TEST; RECEIVER OPERATING CHARACTERISTIC; SEQUENTIAL ANALYSIS; STATISTICAL DISTRIBUTION; STATISTICAL SIGNIFICANCE; SURVIVAL; SYSTEMATIC ERROR; BIOASSAY; BIOMETRY; DECISION THEORY; HUMAN; PATIENT; PHASE 2 CLINICAL TRIAL; SAMPLE SIZE; STATISTICAL MODEL; STATISTICS; TIME;

EID: 67549151410     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.3544     Document Type: Article
Times cited : (6)

References (12)
  • 1
    • 0036186030 scopus 로고    scopus 로고
    • Monitoring the rates of composite events with censored data in phase II clinical trials
    • Cheung YK, Thall PF. Monitoring the rates of composite events with censored data in phase II clinical trials. Biometrika 2002; 58:89-97.
    • (2002) Biometrika , vol.58 , pp. 89-97
    • Cheung, Y.K.1    Thall, P.F.2
  • 2
    • 0033045456 scopus 로고    scopus 로고
    • Bayesian monitoring of event rates with censored data
    • Follmann DA, Albert PS. Bayesian monitoring of event rates with censored data. Biometrics 1999; 55:603-607.
    • (1999) Biometrics , vol.55 , pp. 603-607
    • Follmann, D.A.1    Albert, P.S.2
  • 3
    • 15044360995 scopus 로고    scopus 로고
    • Bayesian monitoring of clinical trials with failure-time endpoints
    • Rosner GL. Bayesian monitoring of clinical trials with failure-time endpoints. Biometrics 2005; 61:239-245.
    • (2005) Biometrics , vol.61 , pp. 239-245
    • Rosner, G.L.1
  • 4
    • 30444432951 scopus 로고    scopus 로고
    • Monitoring event times in early phase clinical trials: Some practical issues
    • DOI: 10.1191/1740774505cn121oa
    • Thall PF, Wooten LH, Tannir NM. Monitoring event times in early phase clinical trials: some practical issues. Clinical Trials 2005; 2:467-478. DOI: 10.1191/1740774505cn121oa.
    • (2005) Clinical Trials , vol.2 , pp. 467-478
    • Thall, P.F.1    Wooten, L.H.2    Tannir, N.M.3
  • 7
    • 0031683608 scopus 로고    scopus 로고
    • Approaches for optimal sequential decision analysis in clinical trials
    • Carlin BP, Kadane JB, Gelfand AE. Approaches for optimal sequential decision analysis in clinical trials. Biometrics 1998; 54:964-975.
    • (1998) Biometrics , vol.54 , pp. 964-975
    • Carlin, B.P.1    Kadane, J.B.2    Gelfand, A.E.3
  • 10
    • 0035106433 scopus 로고    scopus 로고
    • A Bayesian decision approach for sample size determination in phase II trials
    • Leung DH, Wang YG. A Bayesian decision approach for sample size determination in phase II trials. Biometrics 2001; 57:309-312.
    • (2001) Biometrics , vol.57 , pp. 309-312
    • Leung, D.H.1    Wang, Y.G.2
  • 11
    • 0001611077 scopus 로고
    • Sample size determination in Bayesian analysis
    • Pham-Gia T, Turkkan N. Sample size determination in Bayesian analysis. The Statistician 1992; 41:389-397.
    • (1992) The Statistician , vol.41 , pp. 389-397
    • Pham-Gia, T.1    Turkkan, N.2
  • 12
    • 0031898459 scopus 로고    scopus 로고
    • Sample size determination for phase II clinical trials based on Bayesian decision theory
    • Stallard N. Sample size determination for phase II clinical trials based on Bayesian decision theory. Biometrics 1998; 54:279-294.
    • (1998) Biometrics , vol.54 , pp. 279-294
    • Stallard, N.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.