Maximum likelihood estimations and EM algorithms with length-biased data
Length-biased sampling has been well recognized in economics, industrial reliability,
etiology applications, and epidemiological, genetic, and cancer screening studies. Length …
etiology applications, and epidemiological, genetic, and cancer screening studies. Length …
Frailty modelling for survival data from multi‐centre clinical trials
Despite the use of standardized protocols in, multi‐centre, randomized clinical trials,
outcome may vary between centres. Such heterogeneity may alter the interpretation and …
outcome may vary between centres. Such heterogeneity may alter the interpretation and …
Frailty models: applications to biomedical and genetic studies
US Govindarajulu, H Lin, KL Lunetta… - Statistics in …, 2011 - Wiley Online Library
In survival analysis, frailty models are potential choices for modeling unexplained
heterogeneity in a population. This tutorial presents an overview and general framework of …
heterogeneity in a population. This tutorial presents an overview and general framework of …
Semiparametric transformation models with time-varying coefficients for recurrent and terminal events
X Zhao, J Zhou, L Sun - Biometrics, 2011 - academic.oup.com
In this article, we propose a family of semiparametric transformation models with time-
varying coefficients for recurrent event data in the presence of a terminal event such as …
varying coefficients for recurrent event data in the presence of a terminal event such as …
Estimating and testing for center effects in competing risks
S Katsahian, C Boudreau - Statistics in medicine, 2011 - Wiley Online Library
The problems of fitting Gaussian frailties proportional hazards models for the subdistribution
of a competing risk and of testing for center effects are considered. In the analysis of …
of a competing risk and of testing for center effects are considered. In the analysis of …
A class of Box-Cox transformation models for recurrent event data
L Sun, X Tong, X Zhou - Lifetime Data Analysis, 2011 - Springer
In this article, we propose a class of Box-Cox transformation models for recurrent event data,
which includes the proportional means models as special cases. The new model offers great …
which includes the proportional means models as special cases. The new model offers great …
On proportional reversed hazards frailty models
PG Sankaran, VL Gleeja - Metron, 2011 - Springer
Frailty models are widely employed in bivariate survival data as they allow us to model the
dependence through common random effect. The frailty models developed in literature are …
dependence through common random effect. The frailty models developed in literature are …
A nonparametric frailty model for clustered survival data
SOM Manda - Communications in Statistics—Theory and Methods, 2011 - Taylor & Francis
Clayton-type counting process formulations for survival data and parametric gamma models
for cluster-specific frailty quantities are now routinely applied in analyses of clustered …
for cluster-specific frailty quantities are now routinely applied in analyses of clustered …
Studies based on the Danish Adoption Register: schizophrenia, BMI, smoking, and mortality in perspective
L Petersen, TIA Sørensen - Scandinavian journal of public …, 2011 - journals.sagepub.com
Introduction: The genetic and familial environmental influences making up familial
correlations in traits and familial aggregation of diseases may be disentangled by adoption …
correlations in traits and familial aggregation of diseases may be disentangled by adoption …
The Aalen additive gamma frailty hazards model
In this paper, we consider clustered right-censored time-to-event data. Such data can be
analysed either using a marginal model if one is interested in population effects or using so …
analysed either using a marginal model if one is interested in population effects or using so …