Analysis of left-truncated right-censored or doubly censored data with linear transformation models

• Pao-sheng Shen ^[1]
  1. [1] Tunghai University

     Tunghai University

     Taiwán

     
• Localización: Test: An Official Journal of the Spanish Society of Statistics and Operations Research, ISSN-e 1863-8260, ISSN 1133-0686, Vol. 21, Nº. 3, 2012, págs. 584-603
• Idioma: inglés
• DOI: 10.1007/s11749-011-0263-1
• Texto completo no disponible (Saber más ...)
• Resumen

  • We analyze left-truncated right-censored (LTRC) data or doubly censored data using semiparametric transformation models. It is demonstrated that the extended estimating equations of both Cheng et al. (Biometrika 82:835–845, 1995) and Chen et al. (Biometrika 89:659–668, 2002) can be used to analyze LTRC data or doubly censored data when left-censored variables are always observed. The asymptotic properties of the proposed estimators are derived. A simulation study is conducted to investigate the performance of the proposed estimators.