Title of article :
Comparing first hitting time and proportional hazards regression models
Author/Authors :
D. Stogiannis، نويسنده , , C. Caroni، نويسنده , , C. E. Anagnostopoulos&I. K. Toumpoulis، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2011
Pages :
10
From page :
1483
To page :
1492
Abstract :
Cox’s widely used semi-parametric proportional hazards (PH) regression model places restrictions on the possible shapes of the hazard function. Models based on the first hitting time (FHT) of a stochastic process are among the alternatives and have the attractive feature of being based on a model of the underlying process.We review and compare the PH model and an FHT model based on aWiener process which leads to an inverse Gaussian (IG) regression model. This particular model can also represent a “cured fraction” or long-term survivors. A case study of survival after coronary artery bypass grafting is used to examine the interpretation of the IG model, especially in relation to covariates that affect both of its parameters.
Keywords :
cured fraction , Proportional hazards , inverse Gaussian , Cox regression , Survival analysis , first hitting time
Journal title :
JOURNAL OF APPLIED STATISTICS
Serial Year :
2011
Journal title :
JOURNAL OF APPLIED STATISTICS
Record number :
712617
Link To Document :
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