메뉴 건너뛰기




Volumn 7, Issue 2, 2008, Pages 107-120

Weibull prediction of event times in clinical trials

Author keywords

Interim analysis; Predictie power; Time to event

Indexed keywords

GAMMA INTERFERON; PLACEBO;

EID: 46449103064     PISSN: 15391604     EISSN: 15391612     Source Type: Journal    
DOI: 10.1002/pst.271     Document Type: Article
Times cited : (27)

References (27)
  • 1
    • 0035974243 scopus 로고    scopus 로고
    • Predicting analysis times in randomized clinical trials
    • Bagiella E, Heitjan DF. Predicting analysis times in randomized clinical trials. Statistics in Medicine 2001; 20:2055-2063.
    • (2001) Statistics in Medicine , vol.20 , pp. 2055-2063
    • Bagiella, E.1    Heitjan, D.F.2
  • 2
    • 32944474166 scopus 로고    scopus 로고
    • Nonparametric prediction of event times in randomized clinical trials
    • Ying GS, Heitjan DF, Chen TT. Nonparametric prediction of event times in randomized clinical trials. Clinical Trials 2004; 1:352-361.
    • (2004) Clinical Trials , vol.1 , pp. 352-361
    • Ying, G.S.1    Heitjan, D.F.2    Chen, T.T.3
  • 3
    • 0030325738 scopus 로고    scopus 로고
    • A Bayesian approach to Weibull survival models - application to a cancer clinical trial
    • Abrams K, Ashby D, Errington D. A Bayesian approach to Weibull survival models - application to a cancer clinical trial. Lifetime Data Analysis 1996; 2:159-174.
    • (1996) Lifetime Data Analysis , vol.2 , pp. 159-174
    • Abrams, K.1    Ashby, D.2    Errington, D.3
  • 4
    • 0345549606 scopus 로고    scopus 로고
    • On the use and utility of the Weibull model in analysis of survival data
    • Carroll KJ. On the use and utility of the Weibull model in analysis of survival data. Controlled Clinical Trials 2003; 24:682-701.
    • (2003) Controlled Clinical Trials , vol.24 , pp. 682-701
    • Carroll, K.J.1
  • 5
    • 0038389969 scopus 로고
    • Numerical prediction for the two-parameter Weibull distribution
    • Dellaportas P, Wright D. Numerical prediction for the two-parameter Weibull distribution. The Statistician 1991; 40:365-372.
    • (1991) The Statistician , vol.40 , pp. 365-372
    • Dellaportas, P.1    Wright, D.2
  • 7
    • 0037088326 scopus 로고    scopus 로고
    • Assessment and monitoring in clinical trials when survival curves have distinct shape: A Bayesian approach with Weibull modelling
    • Lecoutre B, Mabika B, Derzko J. Assessment and monitoring in clinical trials when survival curves have distinct shape: a Bayesian approach with Weibull modelling. Statistics in Medicine 2002; 21: 663-674.
    • (2002) Statistics in Medicine , vol.21 , pp. 663-674
    • Lecoutre, B.1    Mabika, B.2    Derzko, J.3
  • 8
    • 0345778011 scopus 로고
    • Prediction limits for the Weibull distribution utilizing simulation
    • Mee RW, Kushary D. Prediction limits for the Weibull distribution utilizing simulation. Computational Statistics & Data Analysis 1994; 17:327-336.
    • (1994) Computational Statistics & Data Analysis , vol.17 , pp. 327-336
    • Mee, R.W.1    Kushary, D.2
  • 10
    • 0006972391 scopus 로고    scopus 로고
    • A Weibull model for survival data: Using prediction to decide when to stop a clinical trial
    • Berry DA, Stangl DK eds, Marcel Dekker: New York
    • Qian J, Stangl DK, George S. A Weibull model for survival data: using prediction to decide when to stop a clinical trial. In Bayesian biostatistics, Berry DA, Stangl DK (eds). Marcel Dekker: New York, 1996.
    • (1996) Bayesian biostatistics
    • Qian, J.1    Stangl, D.K.2    George, S.3
  • 11
    • 0001560641 scopus 로고
    • Fully exponential Laplace approximation of expectations and variances of non-positive functions
    • Tierney L, Kass RE, Kadane JB. Fully exponential Laplace approximation of expectations and variances of non-positive functions. Journal of the American Statistical Association 1989; 84: 710-716.
    • (1989) Journal of the American Statistical Association , vol.84 , pp. 710-716
    • Tierney, L.1    Kass, R.E.2    Kadane, J.B.3
  • 12
    • 0000691109 scopus 로고
    • Application of a method for the efficient computation of posterior distributions
    • Naylor JC, Smith FM. Application of a method for the efficient computation of posterior distributions. Applied Statistics 1982; 31:214-225.
    • (1982) Applied Statistics , vol.31 , pp. 214-225
    • Naylor, J.C.1    Smith, F.M.2
  • 14
    • 0026090433 scopus 로고
    • A controlled trial of interferon gamma to prevent infection in chronic granulomatous disease
    • International Chronic Granulomatous Disease Cooperative Study Group
    • International Chronic Granulomatous Disease Cooperative Study Group. A controlled trial of interferon gamma to prevent infection in chronic granulomatous disease. New England Journal of Medicine 1991; 324:509-516.
    • (1991) New England Journal of Medicine , vol.324 , pp. 509-516
  • 17
    • 0038569065 scopus 로고
    • Selecting between gamma and Weibull distribution - an approach based on predictions of order statistics
    • Balasooriya U, Abeysinghe T. Selecting between gamma and Weibull distribution - an approach based on predictions of order statistics. Journal of Applied Statistics 1994; 21:17-27.
    • (1994) Journal of Applied Statistics , vol.21 , pp. 17-27
    • Balasooriya, U.1    Abeysinghe, T.2
  • 19
    • 0020993106 scopus 로고
    • What price Kaplan-Meier?
    • Miller RG. What price Kaplan-Meier? Biometrics 1983; 39:1077-1081.
    • (1983) Biometrics , vol.39 , pp. 1077-1081
    • Miller, R.G.1
  • 23
    • 0019383823 scopus 로고
    • Planning the duration of a comparative clinical trial with loss to follow-up and a period of a continued observation
    • Rubinstein LV, Gail MH, Santner TJ. Planning the duration of a comparative clinical trial with loss to follow-up and a period of a continued observation. Journal of Chronic Diseases 1981; 34:469-479.
    • (1981) Journal of Chronic Diseases , vol.34 , pp. 469-479
    • Rubinstein, L.V.1    Gail, M.H.2    Santner, T.J.3
  • 24
    • 84969427277 scopus 로고
    • Sample size formula for the proportional-hazards regression model
    • Schoenfeld DA. Sample size formula for the proportional-hazards regression model. Biometrics 1983; 8:1191-1198.
    • (1983) Biometrics , vol.8 , pp. 1191-1198
    • Schoenfeld, D.A.1
  • 25
    • 0022771685 scopus 로고
    • Evaluation of sample size and power for analyses of survival with allowance for nonuniform patient entry, losses to follow-up, noncompliance and stratification
    • Lachin JM, Foulkes MA. Evaluation of sample size and power for analyses of survival with allowance for nonuniform patient entry, losses to follow-up, noncompliance and stratification. Biometrics 1986; 42:507-519.
    • (1986) Biometrics , vol.42 , pp. 507-519
    • Lachin, J.M.1    Foulkes, M.A.2
  • 26
    • 0026752046 scopus 로고
    • Sample size for proportional hazards survival studies with arbitrary patient entry and loss to follow-up distributions
    • Yateman NA, Skene AM. Sample size for proportional hazards survival studies with arbitrary patient entry and loss to follow-up distributions. Statistics in Medicine 1992; 12:1103-1113.
    • (1992) Statistics in Medicine , vol.12 , pp. 1103-1113
    • Yateman, N.A.1    Skene, A.M.2
  • 27
    • 0027240290 scopus 로고
    • The use of simulation in the design of two cardiovascular survival studies
    • Yateman NA, Skene AM. The use of simulation in the design of two cardiovascular survival studies. Statistics in Medicine 1993; 12:1365-1372.
    • (1993) Statistics in Medicine , vol.12 , pp. 1365-1372
    • Yateman, N.A.1    Skene, A.M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.