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On High-Dimensional Covariate Adjustment for Estimating Causal Effects in Randomized Trials with Survival Outcomes
The purpose of this work is to improve the efficiency in estimating the average causal effect (ACE) on the survival scale where right censoring...
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Topp-Leone Exponentiated Pareto Distribution: Properties and Application to Covid-19 Data
This paper proposes a new Topp-Leone Exponentiated Pareto (TLEtP) distribution. The new distribution family is derived by expanding the Topp Leone-G...
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Online Updating of Nonparametric Survival Estimator and Nonparametric Survival Test
The cumulative hazard function plays an important role not only in survival analysis in biostatistical applications, but also in many other fields...
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Model-free feature screening via distance correlation for ultrahigh dimensional survival data
With the explosion of ultrahigh dimensional data in various fields, many sure independent screening methods have been proposed to reduce the...
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A survival regression with cure fraction applied to cervical cancer
A new survival model is proposed in the presence of surviving fractions and unobserved dispersion. It is obtained by considering several latent...
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Multi-stage Minimum Risk Point Estimation Strategies for Comparing the Locations from Two Negative Exponential Models and Second-Order Asymptotics: Illustrations with Simulated Data and Bone Marrow Transplant Data
The negative exponential (NE) distributions have been used in the literature for studying the growth of certain kinds of tumors in cancer research in...
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Sieve Estimation of the Additive Hazards Model with Bivariate Current Status Data
In this paper, we study sieve maximum likelihood estimators of both finite and infinite dimensional parameters in the marginal additive hazards...
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A multiple imputation approach for the Cox–Aalen cure model with interval-censored data
Interval censored survival data, where the exact event time is only known to lie in an interval, is commonly encountered in practice. Furthermore,...
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Intuitive Derivation of Some Tests for Right Censored Data
Two sample tests for right censored survival data require complicated assumptions that are sometimes not satisfied in practice. The estimated...
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A dependent Dirichlet process model for survival data with competing risks
In this paper, we first propose a dependent Dirichlet process (DDP) model using a mixture of Weibull models with each mixture component resembling a...
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Time-to-Event Data
The value of the fiducial Bayesian methodology for the analysis of time-to-event (or survival) data is illustrated in the case of a parametric...
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Bioinformatics Analysis in the Identification of Prognostic Signatures for ER-Negative Breast Cancer Data
Breast cancer (BRCA) is the most widespread malignant tumor and the leading cause of death in women. BRCA treatments vary based on the presence of...
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Stable Non-Linear Generalized Bayesian Joint Models for Survival-Longitudinal Data
Joint models have received increasing attention during recent years with extensions into various directions; numerous hazard functions, different...
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Investigating non-inferiority or equivalence in time-to-event data under non-proportional hazards
The classical approach to analyze time-to-event data, e.g. in clinical trials, is to fit Kaplan–Meier curves yielding the treatment effect as the...
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Neutrosophic Topp-Leone Distribution for Interval-Valued Data Analysis
Many issues in real life are riddled with confusion, vagueness, and ambiguity. The Topp-Leone distribution is a significant one-parameter probability...
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Clustering method for censored and collinear survival data
In this paper we propose a Dirichlet process mixture model for censored survival data with covariates. This model is suitable in two scenarios....
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On the role of Volterra integral equations in self-consistent, product-limit, inverse probability of censoring weighted, and redistribution-to-the-right estimators for the survival function
This paper reconsiders several results of historical and current importance to nonparametric estimation of the survival distribution for failure in...
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A New Lifetime Model for Non-Monotone Failure Rate Data
Lifetime study of organisms and systems plays an important role in reliability theory and survival analysis. Lifetime models with a non-monotone...
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A new approach to modeling the cure rate in the presence of interval censored data
We consider interval censored data with a cured subgroup that arises from longitudinal followup studies with a heterogeneous population where a...
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A Causal Mediation Model for Longitudinal Mediators and Survival Outcomes with an Application to Animal Behavior
In animal behavior studies, a common goal is to investigate the causal pathways between an exposure and outcome, and a mediator that lies in between....
