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Title of Journal: Ann Inst Stat Math

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Abbravation: Annals of the Institute of Statistical Mathematics

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Springer-Verlag

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DOI

10.1002/elps.11501301163

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1572-9052

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Maximum likelihood estimation in the proportional

Authors: Wenbin Lu
Publish Date: 2007/08/29
Volume: 60, Issue: 3, Pages: 545-574
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Abstract

The proportional hazards cure model generalizes Cox’s proportional hazards model which allows that a proportion of study subjects may never experience the event of interest Here nonparametric maximum likelihood approach is proposed to estimating the cumulative hazard and the regression parameters The asymptotic properties of the resulting estimators are established using the modern empirical process theory And the estimators for the regression parameters are shown to be semiparametric efficient

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  1. Estimating nonlinear regression with and without change-points by the LAD method
  2. Smoothing algorithms for state–space models
  3. Conditional independence, conditional mixing and conditional association
  4. Two-step estimation procedures for inhomogeneous shot-noise Cox processes
  5. Estimating the intensity of a cyclic Poisson process in the presence of linear trend
  6. Recursive equations in finite Markov chain imbedding
  7. Full likelihood inferences in the Cox model: an empirical likelihood approach
  8. Connectedness of PBIB designs having asymmetrical association schemes
  9. Limiting size index distributions for ball-bin models with Zipf-type frequencies
  10. Higher-order accurate polyspectral estimation with flat-top lag-windows
  11. A class of rank-based test for left-truncated and right-censored data
  12. Local c - and E -optimal Designs for Exponential Regression Models
  13. A characterization of limiting distributions of estimators in an autoregressive process
  14. Jump-Preserving Regression and Smoothing using Local Linear Fitting: A Compromise
  15. Yates type estimators of a common mean
  16. On sum of 0–1 random variables I. Univariate case
  17. Nonparametric estimators of the survival function with twice censored data
  18. Testing Homogeneity in Weibull Error in Variables Models
  19. Goodness of fit test for ergodic diffusion processes
  20. Proportional odds frailty model and stochastic comparisons
  21. Multiplicity distributions in a two-component branching process
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