Marginal analysis of current status data with informative cluster size using a class of semiparametric transformation cure models
نویسندگان
چکیده
This research is motivated by a periodontal disease dataset that possesses certain special features. The consists of clustered current status time-to-event observations with large and varying cluster sizes, where the size associated outcome. Also, heavy censoring present in data even long follow-up time, suggesting presence cured subpopulation. In this paper, we propose computationally efficient marginal approach, namely cluster-weighted generalized estimating equation to analyze based on class semiparametric transformation cure models. parametric nonparametric components model are estimated using Bernstein-polynomial sieve maximum pseudo-likelihood approach. asymptotic properties proposed estimators studied. Simulation studies conducted evaluate performance scenarios different degree informative clustering within-cluster dependence. method applied motivating for illustration.
منابع مشابه
A General Transformation Class of Semiparametric Cure Rate Frailty Models
We consider a class of cure rate frailty models for multivariate failure time data with a survival fraction. This class is formulated through a transformation on the unknown population survival function. It incorporates random effects to account for the underlying correlation, and includes the mixture cure model and the proportional hazards cure model as two special cases. We develop efficient ...
متن کاملSemiparametric Transformation Models for Survival Data with a Cure Fraction
We propose a class of transformation models for survival data with a cure fraction. The class of transformation models is motivated by biological considerations, and it includes both the proportional hazards and the proportional odds cure models as two special cases. An efficient recursive algorithm is proposed to calculate the maximum likelihood estimators. Furthermore, the maximum likelihood ...
متن کاملSemiparametric analysis of transformation models with censored data
A unified estimation procedure is proposed for the analysis of censored data using linear transformation models, which include the proportional hazards model and the proportional odds model as special cases. This procedure is easily implemented numerically and its validity does not rely on the assumption of independence between the covariates and the censoring variable. The estimator is the sam...
متن کاملSemiparametric additive transformation model under current status data
We consider the efficient estimation of the semiparametric additive transformation model with current status data. A wide range of survival models and econometric models can be incorporated into this general transformation framework. We apply the B-spline approach to simultaneously estimate the linear regression vector, the nondecreasing transformation function, and a set of nonparametric regre...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Statistics in Medicine
سال: 2021
ISSN: ['0277-6715', '1097-0258']
DOI: https://doi.org/10.1002/sim.8910