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Penalized h‐likelihood approach for variable selection in AFT random‐effect models

  • Published:2019-05-13 Issue: Volume: Page:
  • ISSN:0039-0402
  • Container-title:Statistica Neerlandica
  • language:en
  • Short-container-title:Statistica Neerlandica

Author:

Park Eunyoung1,Kwon Sookhee1,Kwon Jihoon2,Sylvester Richard3,Ha Il Do1ORCID

Affiliation:

1. Department of StatisticsPukyong National University Busan South Korea

2. Department of Clinical Pharmacology and Therapeutics, College of MedicineSeoul National University Hospital Seoul South Korea

3. European Organisation for Research and Treatment of Cancer Brussels Belgium

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Reference27 articles.

1. Estimation and variable selection via frailty models with penalized likelihood;Androulakis E.;Statistics in Medicine,2012

2. Wavelets in statistics: A review (with discussion);Antoniadis A.;Journal of the Italian Statistical Society,1997

3. Regularization of wavelet approximations (with discussion);Antoniadis A.;Journal of the American Statistical Association,2001

4. Variable selection via nonconcave penalized likelihood and its oracle properties;Fan J.;Journal of the American Statistical Association,2001

5. Variable selection for Cox's proportional hazards model and frailty model;Fan J.;The Annals of Statistics,2002

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