Semiparametric Accelerated Failure Time Model as a New Approach for Health Science Studies

  • Mostafa KARIMI Institute for Mathematical Research, University Putra Malaysia, Serdang, Selangor, Malaysia
  • Ardalan SHARIAT Sports Medicine Research Center, Neuroscience Institute, Tehran University of Medical Sciences, Tehran, Iran
Keywords: No keywords##

Abstract

Semiparametric Accelerated Failure Time Model as a New  Approach for Health Science Studies

References

Chiou S, Kang S, Yan J (2015). Rank‐based estimating equations with general weight for accelerated failure time models: an induced smoothing approach. Statist Med, 34(9):1495-1510.

Li J, Ma S (2013). Survival analysis in medicine and genetics. CRC Press.

Chung M, Long Q, Johnson BA (2013). A tutorial on rank-based coefficient estimation for censored data in small-and large-scale problems. Stat Comput, 23(5):601-614.

Wang YG, Fu L (2011). Rank regression for accelerated failure time model with clustered and censored data. Comput Stat Data An, 55(7):2334-2343.

Karimi M, Ibrahim NA, Bakar MRA, Arasan J (2017). Rank-based inference for the accelerated failure time model in the presence of interval censored data. Numer Algebra, Contr Optim, 7(1):107-112.

Published
2017-11-01
How to Cite
1.
KARIMI M, SHARIAT A. Semiparametric Accelerated Failure Time Model as a New Approach for Health Science Studies. IJPH. 46(11):1594-5.
Section
Letter to the Editor