We suggest a cure-mixture model to analyze bivariate time-to-event data, as motivated by the article of Chatterjee and Shih (2001, Biometrics 57, 779-786), but with a simpler estimation procedure and the correlated gamma-frailty model instead of the shared gamma-frailty model. This approach allows us to deal with left-truncated and right-censored lifetime data, and accounts for heterogeneity, a...

We propose an augmented estimating equation (AEE) approach for a semiparametric mean regression model with panel count data under possibly informative observation schemes and censoring. On a grid of time points, counts in all the subintervals of each observation window are treated as missing values, and are imputed with a robust working model given the observed count in the window. The observat...

We suggest a cure-mixture model to analyze bivariate time-to-event data, as motivated by the paper of Chatterjee and Shih (2001, Biometrics 57, 779 786), but with a simpler estimation procedure and the correlated gamma-frailty model instead of the shared gamma-frailty model. This approach allows us to deal with left truncated and right censored lifetime data and accounts for heterogeneity as we...

Owing to the fact that general semiparametric inference procedures are still underdeveloped for multivariate interval-censored event time data, we propose semiparametric maximum likelihood estimation for the gamma-frailty Cox model under mixed-case interval censoring. We establish the consistency of the semiparametric maximum likelihood estimator (SPMLE) for the model parameters, including the ...

In this paper, several resampling schemes to estimate the sampling distributions of median estimators of the inter-event time of a recurrent event are introduced and studied through simulations. Two types of recurrent event models are considered: first is a model where the inter-event times are independent and identically distributed, and second is a model where the inter-event times are associ...

In the analysis of dependence of bivariate correlated failure time data, a popular model is a gamma frailty model proposed by Clayton and Oakes. An alternative approach is using a Plackett distribution, whose dependence parameter has a very appealing odds ratio interpretation for dependence between the two failure times. In this article, we develop novel semiparametric estimation and inference ...

INTRODUCTION AND OBJECTIVES Heart failure patients have high levels of frailty and dependence. Our aim was to determine the impact of frailty and depressive symptoms on the 1-year mortality rate and the rate of hospitalization for heart failure during a follow-up period of 1 year. METHODS All patients underwent geriatric evaluation, and frailty and depressive symptoms were identified. The stu...

Background Understanding and addressing the needs of frail persons is an emerging health priority for Nova Scotia and internationally. Primary healthcare (PHC) providers regularly encounter frail persons in their daily clinical work. However, routine identification and measurement of frailty is not standard practice and, in general, there is a lack of awareness about how to identify and respond...