[HTML][HTML] Regression modeling for recurrent events possibly with an informative terminal event using R package reReg
Recurrent event analyses have found a wide range of applications in biomedicine, public
health, and engineering, among others, where study subjects may experience a sequence …
health, and engineering, among others, where study subjects may experience a sequence …
Semiparametric regression analysis of panel count data: A practical review
Panel count data arise in many applications when the event history of a recurrent event
process is only examined at a sequence of discrete time points. In spite of the recent …
process is only examined at a sequence of discrete time points. In spite of the recent …
Semiparametric estimation of the accelerated mean model with panel count data under informative examination times
Panel count data arise when the number of recurrent events experienced by each subject is
observed intermittently at discrete examination times. The examination time process can be …
observed intermittently at discrete examination times. The examination time process can be …
Cure rate model with bivariate interval censored data
YJ Kim - Communications in Statistics-Simulation and …, 2017 - Taylor & Francis
ABSTRACT A mixture model is proposed to analyze a bivariate interval censored data with
cure rates. There exist two types of association related with bivariate failure times and …
cure rates. There exist two types of association related with bivariate failure times and …
A Bayesian approach for semiparametric regression analysis of panel count data
J Wang, X Lin - Lifetime Data Analysis, 2020 - Springer
Panel count data commonly arise in epidemiological, social science, and medical studies, in
which subjects have repeated measurements on the recurrent events of interest at different …
which subjects have repeated measurements on the recurrent events of interest at different …
A semiparametric model for wearable sensor-based physical activity monitoring data with informative device wear
Wearable sensors provide an exceptional opportunity in collecting real-time behavioral data
in free living conditions. However, wearable sensor data from observational studies often …
in free living conditions. However, wearable sensor data from observational studies often …
Regression Modeling for Recurrent Events Using R Package reReg
Recurrent event analyses have found a wide range of applications in biomedicine, public
health, and engineering, among others, where study subjects may experience a sequence …
health, and engineering, among others, where study subjects may experience a sequence …
Fitting semiparametric regressions for panel count survival data with an R package spef
Observing recurrent event processes at discrete, possibly random times produces panel
count data. Modeling panel count data is challenging because the event process may be …
count data. Modeling panel count data is challenging because the event process may be …
Modeling event count data in the presence of informative dropout with application to bleeding and transfusion events in myelodysplastic syndrome
In many biomedical studies, it is often of interest to model event count data over the study
period. For some patients, we may not follow up them for the entire study period owing to …
period. For some patients, we may not follow up them for the entire study period owing to …
[图书][B] Multi-Marker Genetic Association and Interaction Tests for Survival Outcomes
D Wu - 2022 - search.proquest.com
With advancements in high-throughput technologies, studies have been conducted to
investigate the role of massive genetic variants in human diseases. While multi-marker tests …
investigate the role of massive genetic variants in human diseases. While multi-marker tests …