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A new cure rate frailty regression model based on a weighted Lindley distribution applied to stomach cancer data
In this paper, we propose a new cure rate frailty regression model based on a two-parameter weighted Lindley distribution. The weighted Lindley...
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The Extended Chen–Poisson Marginal Rate Model for Recurrent Gap Time Data
A new parametric model for recurrent gap time data based on the extended Chen–Poisson distribution is proposed. The model is characterized by a...
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An additive hazards cure model with informative interval censoring
The existence of a cured subgroup happens quite often in survival studies and many authors considered this under various situations (Farewell in...
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Semiparametric Model for Recurrent Event Data Under Two Independent Competing Risks with Excess Zero and Informative Censoring
Recurrent event data are often encountered in longitudinal studies and in many other important areas such as Biomedical science, Econometrics,...
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Variable selection in partially linear additive hazards model with grouped covariates and a diverging number of parameters
In regression models with a grou** structure among the explanatory variables, variable selection at the group and within group individual variable...
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Strong representations of the Kaplan–Meier estimator and hazard estimator with censored widely orthant dependent data
In this paper, we investigate the rates of strong consistency and the strong representations for the Kaplan–Meier estimator and hazard estimator with...
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On Relative Cumulative Extropy, Its Residual (Past) Measures and their Applications in Estimation and Testing
This article introduces a new measure of distance between two probability distributions based on the notion of extropy, called the relative...
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On some stochastic comparisons of arithmetic and geometric mixture models
Most studies on reliability analysis have been conducted in homogeneous populations. However, homogeneous populations can rarely be found in the real...
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The additive hazard estimator is consistent for continuous-time marginal structural models
Marginal structural models (MSMs) allow for causal analysis of longitudinal data. The standard MSM is based on discrete time models, but the...
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Semiparametric methods for survival data with measurement error under additive hazards cure rate models
It is well established that measurement error has drastically negative impact on data analysis. It can not only bias parameter estimates but may also...
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The \(\alpha\)-Mixture of Cumulative Distribution Functions: Properties, Applications to Parallel System and Stochastic Comparisons
Heterogeneity in populations or components is one of the most important issues in the reliability theory, and should be considered in the relevant...
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EM algorithm for the additive risk mixture cure model with interval-censored data
Interval-censored failure time data arise in a number of fields and many authors have recently paid more attention to their analysis. However,...
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Stochastic Comparisons of Order Statistics
Order statistics and record values are compared according to various stochastic orders which are discussed in the previous chapters. It is shown that...
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Additive time-dependent hazard model with doubly truncated data
For doubly truncated data, i.e. the variables of interest are only observable if they lie in a certain random interval, an additive hazard model with...
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The estimation for the general additive–multiplicative hazard model using the length-biased survival data
We use the general additive–multiplicative hazard model to analyze the length biased data with right censorship and use the estimating equation...
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Mixture cure rate models with neural network estimated nonparametric components
Survival data including potentially cured subjects are common in clinical studies and mixture cure rate models are often used for analysis. The...
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Semiparametric efficient estimation for additive hazards regression with case II interval-censored survival data
Interval-censored data often arise naturally in medical, biological, and demographical studies. As a matter of routine, the Cox proportional hazards...
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Modeling Australian Twin Data Using Generalized Lindley Shared Frailty Models
A new class of shared frailty models based on generalized Lindley distribution is established. We propose shared frailty models based on reversed...
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On a Shape-Invariant Hazard Regression Model with application to an HIV Prevention Study of Mother-to-Child Transmission
In survival analysis, Cox model is widely used for most clinical trial data. Alternatives include the additive hazard model, the accelerated failure...
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Weighted fractional generalized cumulative past entropy and its properties
In this paper, we introduce weighted fractional generalized cumulative past entropy of a nonnegative absolutely continuous random variable. Various...
