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Nonparametric estimation of the sojourn time distributions for a multipath model

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  • Weijing Wang

Abstract

Summary. We use a multipath (multistate) model to describe data with multiple end points. Statistical inference based on the intermediate end point is challenging because of the problems of nonidentifiability and dependent censoring. We study nonparametric estimation for the path probability and the sojourn time distributions between the states. The methodology proposed can be applied to analyse cure models which account for the competing risk of death. Asymptotic properties of the estimators proposed are derived. Simulation shows that the methods proposed have good finite sample performance. The methodology is applied to two data sets.

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  • Weijing Wang, 2003. "Nonparametric estimation of the sojourn time distributions for a multipath model," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 65(4), pages 921-935, November.
    • Handle: RePEc:bla:jorssb:v:65:y:2003:i:4:p:921-935
    DOI: 10.1046/j.1369-7412.2003.00423.x
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    Cited by:

    1. Yen‐Tsung Huang, 2021. "Causal mediation of semicompeting risks," Biometrics, The International Biometric Society, vol. 77(4), pages 1143-1154, December.

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