b a c k g r o u n d & aim: the excess hazard rate proposed by andersen and vaeth may underestimate the long-term excess hazard rate for cancer survival. zahl explained the phenomenon by continuous selection of the most robust individuals after diagnosis. he applied correlated inverse gaussian and gamma  frailty  models  to estimate  excess  intensity  and reached  a better  estimate  of the rat...

Background and objectives: Birth spacing is an important variable for identification of fertility acceleration, total fertility rate, and maternal and fetal health. Therefore, special attention has been paid to this issue by researchers in the fields of medical sciences, health, and population. In addition, proper analysis of this concept is of foremost importance. Application of classical anal...

Frailty models are used in the survival analysis to account for the unobserved heterogeneity in individual risks to disease and death. To analyze the bivariate data on related survival times (e.g. matched pairs experiments, twin or family data), the shared frailty models were suggested. Shared frailty models are used despite their limitations. To overcome their disadvantages correlated frailty ...

In this paper, we consider shared frailty model with inverse Gaussian distribution as frailty distribution and log-logistic distribution (LLD) as baseline distribution for bivariate survival times. We fit this model to three real life bivariate survival data sets. The problem of analyzing and estimating parameters of shared inverse Gaussian frailty is the interest of this paper and then compare...

Department of Statistics, University of Pune, Pune-411007, India. Email: david−[email protected]; richa−[email protected] Abstract In this paper, we consider two different shared frailty regression models under the assumption of Gompertz as baseline distribution. Mostly assumption of gamma distribution is considered for frailty distribution. To compare the results with gamma frailty model, ...

We present the frailtyHL package for fitting semi-parametric frailty models using hlikelihood. This package allows lognormal or gamma frailties for random-effect distribution, and it fits shared or multilevel frailty models for correlated survival data. Functions are provided to format and summarize the frailtyHL results. The estimates of fixed effects and frailty parameters and their standard ...