메뉴 건너뛰기




Volumn 19, Issue 6, 2009, Pages 1099-1131

Increasing power in randomized trials with right censored outcomes through covariate adjustment

Author keywords

Clinical trials; Covariate adjustment; Logrank test; Targeted maximum likelihood estimation

Indexed keywords

ANALYSIS OF VARIANCE; ARTICLE; CANCER SURVIVAL; DATA ANALYSIS; HAZARD RATIO; LOG RANK TEST; MATHEMATICAL ANALYSIS; MAXIMUM LIKELIHOOD METHOD; METHODOLOGY; NONPARAMETRIC TEST; PRIORITY JOURNAL; PROPORTIONAL HAZARDS MODEL; RANDOMIZED CONTROLLED TRIAL; SIMULATION; STATISTICAL ANALYSIS; STATISTICAL PARAMETERS; SURVIVAL;

EID: 75749091223     PISSN: 10543406     EISSN: 15205711     Source Type: Journal    
DOI: 10.1080/10543400903243017     Document Type: Article
Times cited : (32)

References (24)
  • 1
    • 0030937915 scopus 로고    scopus 로고
    • Power of logrank test and cox regression model in clinical trials with heterogenous samples
    • Akazawa, K., Nakamura, T., Palesch, Y. (1997). Power of logrank test and cox regression model in clinical trials with heterogenous samples. Stat. Med. 16(5):583-597.
    • (1997) Stat. Med. , vol.16 , Issue.5 , pp. 583-597
    • Akazawa, K.1    Nakamura, T.2    Palesch, Y.3
  • 2
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • Breiman, L. (2001). Random forests. Machine Learning V45(1):5-32.
    • (2001) Machine Learning , vol.1 V45 , pp. 5-32
    • Breiman, L.1
  • 5
    • 28944433350 scopus 로고    scopus 로고
    • Randomized controlled trials with time-to-event outcomes: How much does prespecified covariate adjustment increase power?
    • Hernández, A. V., Eijkemans, M. J., Steyerberg, E. W. (2006). Randomized controlled trials with time-to-event outcomes: How much does prespecified covariate adjustment increase power? Ann. Epidemiol. 16(1):41-48.
    • (2006) Ann. Epidemiol. , vol.16 , Issue.1 , pp. 41-48
    • Hernández, A.V.1    Eijkemans, M.J.2    Steyerberg, E.W.3
  • 6
    • 60849105404 scopus 로고    scopus 로고
    • The type i error and power of non-parametric logrank and Wilcoxon tests with adjustment for covariates-A simulation study
    • Jiang, H., Symanowski, J., Paul, S., Qu, Y., Zagar, A., Hong, S. (2008). The type I error and power of non-parametric logrank and Wilcoxon tests with adjustment for covariates- A simulation study. Stat. Med. 27(28):5850-5860.
    • (2008) Stat. Med. , vol.27 , Issue.28 , pp. 5850-5860
    • Jiang, H.1    Symanowski, J.2    Paul, S.3    Qu, Y.4    Zagar, A.5    Hong, S.6
  • 7
    • 0032528855 scopus 로고    scopus 로고
    • Issues for covariance analysis of dichotomous and ordered categorical data from randomized clinical trials and non-parametric strategies for addressing them
    • Koch, G., Tangen, C. M., Jung, J.-W., Amara, I. A. (1998). Issues for covariance analysis of dichotomous and ordered categorical data from randomized clinical trials and non-parametric strategies for addressing them. Statistics in Medicine 17(15-16): 1863-1892.
    • (1998) Statistics in Medicine , vol.17 , Issue.15-16 , pp. 1863-1892
    • Koch, G.1    Tangen, C.M.2    Jung, J.-W.3    Amara, I.A.4
  • 8
    • 50949092762 scopus 로고    scopus 로고
    • Improving the efficiency of the log-rank test using auxiliary covariates
    • Lu, X., Tsiatis, A. (2008). Improving the efficiency of the log-rank test using auxiliary covariates. Biometrika 95(3):679-694.
    • (2008) Biometrika , vol.95 , Issue.3 , pp. 679-694
    • Lu, X.1    Tsiatis, A.2
  • 9
    • 77953153953 scopus 로고    scopus 로고
    • Application of time-to-event methods in the assessment of safety in clinical trials
    • Peace, K., ed. Philadelphia: Taylor & Francis
    • Moore, K., van der Laan, M. (2009a). Application of time-to-event methods in the assessment of safety in clinical trials. In: Peace, K., ed. Design and Analysis of Clinical Trials with Time-to-Event Endpoints. Philadelphia: Taylor & Francis, pp. 455-482.
    • (2009) Design and Analysis of Clinical Trials with Time-to-Event Endpoints , pp. 455-482
    • Moore, K.1    Van Der Laan, M.2
  • 10
    • 61749092099 scopus 로고    scopus 로고
    • Covariate adjustment in randomized trials with binary outcomes: Targeted maximum likelihood estimation
    • Moore, K. L., van der Laan, M. J. (2009b). Covariate adjustment in randomized trials with binary outcomes: Targeted maximum likelihood estimation. Stat. Med. 28(1):39-64.
    • (2009) Stat. Med. , vol.28 , Issue.1 , pp. 39-64
    • Moore, K.L.1    Van Der Laan, M.J.2
  • 11
    • 0037108235 scopus 로고    scopus 로고
    • Subgroup analysis, covariate adjustment and baseline comparisons in clinical trial reporting: Current practice and problems
    • Pocock, S., Assmann, S., Enos, L., Kasten, L. (2002). Subgroup analysis, covariate adjustment and baseline comparisons in clinical trial reporting: Current practice and problems. Stat. Med. 21:2917-2930.
    • (2002) Stat. Med. , vol.21 , pp. 2917-2930
    • Pocock, S.1    Assmann, S.2    Enos, L.3    Kasten, L.4
  • 13
    • 0001425735 scopus 로고
    • Recovery of information and adjustment for dependent censoring using surrogate markers
    • Jewell, N., Dietz, K., Farewell, V., eds. Boston, MA: Bikhäuser
    • Robins, J., Rotnitzky, A. (1992). Recovery of information and adjustment for dependent censoring using surrogate markers. In: Jewell, N., Dietz, K., Farewell, V., eds. AIDS Epidemiology, Methodological Issues. Boston, MA: Bikhäuser, pp. 297-331.
    • (1992) AIDS Epidemiology, Methodological Issues , pp. 297-331
    • Robins, J.1    Rotnitzky, A.2
  • 14
    • 18544371304 scopus 로고    scopus 로고
    • The deletion/substitution/addition algorithm in loss function based estimation: Applications in genomics
    • Sinisi, S., van der Laan, M. J. (2004). The deletion/substitution/ addition algorithm in loss function based estimation: Applications in genomics. Stat. Appl. Genet. Mol. Biol. 3(1): Article 18.
    • (2004) Stat. Appl. Genet. Mol. Biol. , vol.3 , Issue.1
    • Sinisi, S.1    Van Der Laan, M.J.2
  • 15
    • 0033021025 scopus 로고    scopus 로고
    • Non-parametric analysis of covariance for hypothesis testing with logrank and wilcoxon scores and survival-rate estimation in a randomized clinical trial
    • Tangen, C. M., Koch, G. G. (1999). Non-parametric analysis of covariance for hypothesis testing with logrank and wilcoxon scores and survival-rate estimation in a randomized clinical trial. J. Biopharm. Stat. 9(2):307-338.
    • (1999) J. Biopharm. Stat. , vol.9 , Issue.2 , pp. 307-338
    • Tangen, C.M.1    Koch, G.G.2
  • 16
    • 85194972808 scopus 로고    scopus 로고
    • Regression shrinkage and selection via the lasso
    • Tibshirani, R. (1996). Regression shrinkage and selection via the lasso. J. Roy. Stat. Soc. Ser. B 58(1):267-288.
    • (1996) J. Roy. Stat. Soc. Ser. B , vol.58 , Issue.1 , pp. 267-288
    • Tibshirani, R.1
  • 17
    • 53849093809 scopus 로고    scopus 로고
    • Covariate adjustment for two-sample treatment comparisons in randomized clinical trials: A principled yet flexible approach
    • Tsiatis, A. A., Davidian, M., Zhang, M., Lu, X. (2008). Covariate adjustment for two-sample treatment comparisons in randomized clinical trials: A principled yet flexible approach. Stat. Med. 27(23):4658-4677.
    • (2008) Stat. Med. , vol.27 , Issue.23 , pp. 4658-4677
    • Tsiatis, A.A.1    Davidian, M.2    Zhang, M.3    Lu, X.4
  • 18
    • 75749127502 scopus 로고    scopus 로고
    • Collaborative double robust targeted penalized maximum likelihood estimation
    • Division of Biostatistics, University of California, Berkeley
    • van der Laan, M., Gruber, S. (2009). Collaborative Double Robust Targeted Penalized Maximum Likelihood Estimation. Technical Report 246, Division of Biostatistics, University of California, Berkeley.
    • (2009) Technical Report 246
    • Van Der Laan, M.1    Gruber, S.2
  • 19
    • 75749105103 scopus 로고    scopus 로고
    • Super learner
    • Division of Biostatistics, University of California, Berkeley
    • van der Laan, M., Polley, E., Hubbard, A. (2007). Super Learner. Technical Report 222, Division of Biostatistics, University of California, Berkeley.
    • (2007) Technical Report 222
    • Van Der Laan, M.1    Polley, E.2    Hubbard, A.3
  • 20
    • 75749104716 scopus 로고    scopus 로고
    • The construction and analysis of adaptive group sequential designs
    • Division of Biostatistics, University of California, Berkeley
    • van der Laan, M. J. (2008). The Construction and Analysis of Adaptive Group Sequential Designs. Technical Report 232, Division of Biostatistics, University of California, Berkeley.
    • (2008) Technical Report 232
    • Van Der Laan, M.J.1
  • 22
    • 33845971550 scopus 로고    scopus 로고
    • Targeted maximum likelihood learning
    • van der Laan, M. J., Rubin, D. (2006). Targeted maximum likelihood learning. Int. J. Biostatist. 2(1):article 11.
    • (2006) Int. J. Biostatist. , vol.2 , Issue.1
    • Van Der Laan, M.J.1    Rubin, D.2
  • 23
    • 25144472336 scopus 로고    scopus 로고
    • Are missing outcome data adequately handled? A review of published randomized controlled trials in major medical journals
    • Wood, A., White, I., Thompson, S. (2004). Are missing outcome data adequately handled? A review of published randomized controlled trials in major medical journals. Clin. Trials 1:368-376.
    • (2004) Clin. Trials , vol.1 , pp. 368-376
    • Wood, A.1    White, I.2    Thompson, S.3
  • 24
    • 49749151360 scopus 로고    scopus 로고
    • Improving efficiency of inferences in randomized clinical trials using auxiliary covariates
    • Zhang, M., Tsiatis, A. A. A., Davidian, M. (2008). Improving efficiency of inferences in randomized clinical trials using auxiliary covariates. Biometrics 64(3):707-715.
    • (2008) Biometrics , vol.64 , Issue.3 , pp. 707-715
    • Zhang, M.1    Tsiatis, A.A.A.2    Davidian, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.