• Wiley Online Library will be disrupted on 18 May from 10:00-12:00 BST (05:00-07:00 EDT) for essential maintenance

SEARCH

SEARCH BY CITATION

References

  • Estey, E. H., Shen, Y. and Thall, P. F. (2000) Effect of time to complete remission on subsequent survival and disease-free survival in AML, RAEB-t, and RAEB. Blood, 95, 7277.
  • Estey, E. H., Thall, P. F., Pierce, S., Cortes, J., Beran, M., Kantarjian, H., Keating, M. J., Andreeff, M. and Freireich, E. (1999) Randomized phase II study of fludarabine + cytosine arabinoside + idarubicin ± granulocyte colony-stimulating factor in poor prognosis newly diagnosed acute myeloid leukemia and myelodysplastic syndrome. Blood, 93, 24782484.
  • Estey, E. H., Thall, P. F., Pierce, S., Kantarjian, H. and Keating, M. (1997) T treatment of newly diagnosed acute promyelocytic leukemia without cytarabine. J. Clin. Oncol., 15, 483490.
  • Holland, P. (1986) Statistics and causal inference. J. Am. Statist. Ass., 81, 945960.
  • Lavori, P. W. and Dawson, R. (2000) A design for testing clinical strategies: biased adaptive within-subject randomization. J. R. Statist. Soc. A, 163, 2938.
  • Lavori, P. and Dawson, R. (2004) Dynamic treatment regimes: practical design considerations. Clin. Trials, 1, 920.
  • Lunceford, J., Davidian, M. and Tsiatis, A. A. (2002) Estimation of the survival distribution of treatment policies in two-stage randomization designs in clinical trials. Biometrics, 58, 4857.
  • Murphy, S. A. (2003) Optimal dynamic treatment regimes (with discussion). J. R. Statist. Soc. B, 65, 331366.
  • Murphy, S. A. (2005) An experimental design for the development of adaptive treatment strategies. Statist. Med., 24, 14551481.
  • Murphy, S. A., van der Laan, M., Robins, J. M. and CPPRG (2001) Marginal mean models for dynamic treatment regimes. J. Am. Statist. Ass., 96, 14101424.
  • Robins, J. M. (1986) A new approach to causal inference in mortality studies with sustained exposure periods—application to control of the healthy survivor effect. Math. Modlng, 7, 13931512.
  • Robins, J. M. (1997) Causal inference from complex longitudinal data latent variable modeling and applications to causality. Lect. Notes Statist., 120, 69117.
  • Robins, J. M. (2004) Optimal structural nested models for optimal sequential decisions. In Proc. 2nd Seattle Symp. Biostatistics (eds D. Y. Lin and P. Heagerty). New York: Springer
  • Robins, J. M., Hernan, M. A. and Brumback, B. (2000) Marginal structural models and causal inference in epidemiology. Epidemiology, 11, 550560.
  • Robins, J. M., Orellana, L., Hernan, M. and Rotnitzky, A. (2008) Estimation and extrapolation of optimal treatment and testing strategies. Statist. Med., to be published.
  • Robins, J. M. and Rotnitzky, A. (1992) Recovery of information and adjustment for dependent censoring using surrogate markers. In AIDS Epidemiology, Methodological Issues (eds N. Jewell, K. Dietz and V. Farewellpp. 297331. Boston: Birkhäuser.
  • Schwarz, G. (1978) Estimating the dimension of a model. Ann. Statist., 6, 461464.
  • Shen, Y. and Thall, P. F. (1998) Parametric likelihoods for multiple non-fatal competing risks and death. Statist. Med., 17, 9991016.
  • Thall, P. F., Logothetis, C., Pagliaro, L., Wen, S., Brown, M. A., Williams, D. and Millikan, R. (2007) Adaptive therapy for androgen independent prostate cancer: a randomized selection trial including four regimens. J. Natn. Cancer Inst., 99, 16131622.
  • Thall, P. F., Millikan, R. and Sung, H. G. (2000) Evaluating multiple treatment courses in clinical trials. Statist. Med., 19, 10111028.
  • Thall, P. F., Sung, H.-G. and Estey, E. H. (2002) Selecting therapeutic strategies based on efficacy and death in multi-course clinical trials. J. Am. Statist. Ass., 97, 2939.
  • Wahed, A. S. and Tsiatis, A. A. (2004) Optimal estimator for the survival distribution and related quantities for treatment policies in two-stage randomization designs in clinical trials. Biometrics, 60, 124133.
  • Wahed, A. S. and Tsiatis, A. A. (2006) Semiparametric efficient estimation of survival distribution for treatment policies in two-stage randomization designs in clinical trials with censored data. Biometrika, 93, 163177.
  • Zhao, Y., Kosorok, M. R. and Zeng, D. (2009) Reinforcement learning design for cancer clinical trials. Statist. Med., 28, 32943315.