HIV dynamics and natural history studies: Joint modeling with doubly interval-censored event time and infrequent longitudinal data

Joint modeling of event time and nonignorable missing longitudinal data.

Survival studies usually collect on each participant, both duration until some terminal event and repeated measures of a time-dependent covariate. Such a covariate is referred to as an internal time-dependent covariate. Usually, some subjects drop out of the study before occurrence of the terminal event of interest. One may then wish to evaluate the relationship between time to dropout and the ...

Statistical Analysis of Doubly Interval-Censored Failure Time Data

Doubly interval-censored failure time data refer to the failure time data where the survival time of interest is defined as the elapsed time between two related events. Furthermore, observations on the occurrences of both events could be rightor interval-censored. One field in which such data often occur is epidemiological studies where the two events may represent infection and subsequent onse...

Joint modeling of longitudinal and event time data: application to HIV study

Many clinical studies generate a dataset having longitudinal repeated biomarker measurement data and time to an event data, which often depend on each other. In such studies, characteristics of the pattern of a biomarker change, and the association between the primary survival endpoint and features of the longitudinal profiles are commonly of interest. Often separate analyses using a mixed effe...

Tracking Interval for Doubly Censored Data with Application of Plasma Droplet Spread Samples

Doubly censoring scheme, which includes left as well as right censored observations, is frequently observed in practical studies. In this paper we introduce a new interval say tracking interval for comparing the two rival models when the data are doubly censored. We obtain the asymptotic properties of maximum likelihood estimator under doubly censored data and drive a statistic for testing the ...

Bayesian Accelerated Failure Time Model with Multivariate Doubly-Interval-Censored Data and Flexible Distributional Assumptions