References
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 831–853
Kong S, Nan B, Kalbfleisch JD, Saran R, Hirth R (2017) Conditional modeling of longitudinal data with terminal event. J Am Stat Assoc 71:340–344
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 24:211–222
Liang K-Y, Zeger SL (2000) Longitudinal data analysis of continuous and discrete responses for pre-post designs. Sankhya 62:134–148 Series B:
Oakes D (2016) On the win-ratio statistic in clinical trials with multiple types of event. Biometrika 103:742–745
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 13:176–182
Senn S (2006) Change from baseline and analysis of covariance revisited. Stat Med 25:4334–4344
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Oakes, D. Survival models and health sequences: discussion. Lifetime Data Anal 24, 592–594 (2018). https://doi.org/10.1007/s10985-018-9441-8
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DOI: https://doi.org/10.1007/s10985-018-9441-8