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Semiparametric regression analysis of doubly censored recurrent event data
Recurrent event data are common in survival and reliability studies, where a subject experiences the same type of event repeatedly. There are...
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Assessing model prediction performance for the expected cumulative number of recurrent events
In a recurrent event setting, we introduce a new score designed to evaluate the prediction ability, for a given model, of the expected cumulative...
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Causal inference with recurrent and competing events
Many research questions concern treatment effects on outcomes that can recur several times in the same individual. For example, medical researchers...
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Regression analysis of general mixed recurrent event data
In modern biomedical datasets, it is common for recurrent outcomes data to be collected in an incomplete manner. More specifically, information on...
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Analysis of Recurrent Event Processes with Dynamic Models for Event Counts
Recurrent events are of interest in many research fields. The analysis of past developments of processes through dynamic covariates is useful to...
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Semiparametric regression analysis of window-observation recurrent event data with multiple causes of failure
This article deals with the regression analysis of recurrent event data with multiple causes of failure that are collected in disconnected...
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Nonparametric Survival Analysis
Survival or time-to-event data are ubiquitous in clinical trials research. The presence of censoring requires specialized methods for the analysis of...
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Non-parametric test of recurrent cumulative incidence functions for competing risks models
Recurrent competing risks data are common in survival studies. In such contexts the effects of competing risks on lifetime outcomes are important...
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A Bayesian Joint Model of Longitudinal Kidney Disease Progression, Recurrent Cardiovascular Events, and Terminal Event in Patients with Chronic Kidney Disease
Nearly 15% (37 million) of adults in the United States (US) have chronic kidney disease (CKD). The longitudinal decline of kidney function is...
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Sensitivity Analysis for Observational Studies with Recurrent Events
We conduct an observational study of the effect of sickle cell trait Haemoglobin AS (HbAS) on the hazard rate of malaria fevers in children. Assuming...
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Incorporating delayed entry into the joint frailty model for recurrent events and a terminal event
In studies of recurrent events, joint modeling approaches are often needed to allow for potential dependent censoring by a terminal event such as...
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Accelerated failure time models for recurrent event data analysis and joint modeling
There are two commonly encountered problems in survival analysis: (a) recurrent event data analysis, where an individual may experience an event...
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Bivariate pseudo-observations for recurrent event analysis with terminal events
The analysis of recurrent events in the presence of terminal events requires special attention. Several approaches have been suggested for such...
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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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Joint modeling of generalized scale-change models for recurrent event and failure time data
Recurrent event and failure time data arise frequently in many clinical and observational studies. In this article, we propose a joint modeling of...
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Nonparametric estimation of the distribution of gap times for recurrent events
In many longitudinal studies, information is collected on the times of different kinds of events. Some of these studies involve repeated events,...
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Choice of time scale for analysis of recurrent events data
Recurrent events refer to events that over time can occur several times for each individual. Full use of such data in a clinical trial requires a...
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Semiparametric Trend Analysis for Stratified Recurrent Gap Times Under Weak Comparability Constraint
Recurrent event data are frequently encountered in many longitudinal studies where each individual may experience more than one event. Wang and Chen...
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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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Modeling Negatively Skewed Survival Data in Accelerated Failure Time and Correlated Frailty Models
Negatively skewed survival data arise in public health and in statistical research. Commonly used distributions are not always well suited to this...
