Joint Analysis of Longitudinal Data with Informative Right Censoring
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- Junni L. Zhang & Donald B. Rubin, 2003. "Estimation of Causal Effects via Principal Stratification When Some Outcomes are Truncated by “Deathâ€," Journal of Educational and Behavioral Statistics, , vol. 28(4), pages 353-368, December.
- Douglas Hayden & Donna K. Pauler & David Schoenfeld, 2005. "An Estimator for Treatment Comparisons among Survivors in Randomized Trials," Biometrics, The International Biometric Society, vol. 61(1), pages 305-310, March.
- Kani Chen, 2002. "Semiparametric analysis of transformation models with censored data," Biometrika, Biometrika Trust, vol. 89(3), pages 659-668, August.
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- Liang Li & Bo Hu & Tom Greene, 2009. "A Semiparametric Joint Model for Longitudinal and Survival Data with Application to Hemodialysis Study," Biometrics, The International Biometric Society, vol. 65(3), pages 737-745, September.
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