Survival models and health sequences: discussion



  1. Efron B (1967) The two-sample problem with censored data. In: leCam L, Neyman J (eds) Proc. 5’th Berkeley Symp Math Statist Prob, vol 4. University of Califormia Press, Berkeley, pp 831–853Google Scholar
  2. Kong S, Nan B, Kalbfleisch JD, Saran R, Hirth R (2017) Conditional modeling of longitudinal data with terminal event. J Am Stat Assoc 71:340–344Google Scholar
  3. Kurland BF, Johnson L, Egleston BL, Diehr PH (2009) Longitudinal data with follow-up truncated by death: match the analysis to the research aims. Stat Sci 24:211–222MathSciNetCrossRefMATHGoogle Scholar
  4. Liang K-Y, Zeger SL (2000) Longitudinal data analysis of continuous and discrete responses for pre-post designs. Sankhya 62:134–148 Series B:MathSciNetMATHGoogle Scholar
  5. Oakes D (2016) On the win-ratio statistic in clinical trials with multiple types of event. Biometrika 103:742–745MathSciNetCrossRefGoogle Scholar
  6. Pocock SJ, Ariti CA, Collier TJ, Wang D (2012) The win ratio: a new approach to the analysis of composite endpoints in clinical trials based on clinical priorities. Eur Heart J 13:176–182CrossRefGoogle Scholar
  7. Senn S (2006) Change from baseline and analysis of covariance revisited. Stat Med 25:4334–4344MathSciNetCrossRefGoogle Scholar

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© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Biostatistics and Computational BiologyUniversity of Rochester Medical CenterRochesterUSA

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