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Multivariate Survival Trees: A Maximum Likelihood Approach Based on Frailty Models

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  • Xiaogang Su
  • Juanjuan Fan

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  • Xiaogang Su & Juanjuan Fan, 2004. "Multivariate Survival Trees: A Maximum Likelihood Approach Based on Frailty Models," Biometrics, The International Biometric Society, vol. 60(1), pages 93-99, March.
    • Handle: RePEc:bla:biomet:v:60:y:2004:i:1:p:93-99
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    File URL: http://hdl.handle.net/10.1111/j.0006-341X.2004.00139.x
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    References listed on IDEAS

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    1. Ciampi, Antonio & Thiffault, Johanne & Nakache, Jean-Pierre & Asselain, Bernard, 1986. "Stratification by stepwise regression, correspondence analysis and recursive partition: a comparison of three methods of analysis for survival data with covariates," Computational Statistics & Data Analysis, Elsevier, vol. 4(3), pages 185-204, October.
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    Cited by:

    1. Lore Zumeta-Olaskoaga & Maximilian Weigert & Jon Larruskain & Eder Bikandi & Igor Setuain & Josean Lekue & Helmut Küchenhoff & Dae-Jin Lee, 2023. "Prediction of sports injuries in football: a recurrent time-to-event approach using regularized Cox models," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 107(1), pages 101-126, March.
    2. Wei-Yin Loh, 2014. "Fifty Years of Classification and Regression Trees," International Statistical Review, International Statistical Institute, vol. 82(3), pages 329-348, December.
    3. Fan, Juanjuan & Nunn, Martha E. & Su, Xiaogang, 2009. "Multivariate exponential survival trees and their application to tooth prognosis," Computational Statistics & Data Analysis, Elsevier, vol. 53(4), pages 1110-1121, February.
    4. Peter Calhoun & Richard A. Levine & Juanjuan Fan, 2021. "Repeated measures random forests (RMRF): Identifying factors associated with nocturnal hypoglycemia," Biometrics, The International Biometric Society, vol. 77(1), pages 343-351, March.

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