Joint Modelling of Event Counts and Survival Times
نویسندگان
چکیده
We consider the analysis of data from the MRC Multicentre Trial for Early Epilepsy and Single Seizures (MESS), which was undertaken to assess the differences between two policies: immediate, or deferred treatment in patients with single seizures or early epilepsy. In studies of recurrent events, like epileptic seizures, there is typically lots of information about individuals’ seizure patterns over a period of time, which is often not fully utilised in analysis. We develop methodology that allows pre-randomisation seizure counts and multiple post-randomisation survival times to be jointly modelled, assuming that both these outcomes are predicted by (unobserved) seizure rates. The joint model was found to be superior to standard survival methods, although interesting characteristics within the data, not present in the model were also highlighted. We consider modifications to the joint model to accommodate these properties.
منابع مشابه
مدلسازی توام دادههای بقا و طولی و کاربرد آن در بررسی عوامل موثر بر آسیب حاد کلیوی
Background: In many clinical trials and medical studies, the survival and longitudinal data are collected simultaneously. When these two outcomes are measured from each subject and the survival variable depends on a longitudinal biomarker, using joint modelling of survival and longitudinal outcomes is a proper choice for analyzing the available data. Methods: In this retrospective archiv...
متن کاملMultivariate Frailty Modeling in Joint Analyzing of Recurrent Events with Terminal Event and its Application in Medical Data
Background and Objectives: In many medical situations, people can experience recurrent events with a terminal event. If the terminal event is considered a censor in this type of data, the assumption of independence in the analysis of survival data may be violated. This study was conducted to investigate joint modeling of frequent events and a final event (death) in breast cancer patients using ...
متن کاملBayesian Sample Size Determination for Joint Modeling of Longitudinal Measurements and Survival Data
A longitudinal study refers to collection of a response variable and possibly some explanatory variables at multiple follow-up times. In many clinical studies with longitudinal measurements, the response variable, for each patient is collected as long as an event of interest, which considered as clinical end point, occurs. Joint modeling of continuous longitudinal measurements and survival time...
متن کاملShared parameter models for the joint analysis of longitudinal data and event times.
Longitudinal studies often gather joint information on time to some event (survival analysis, time to dropout) and serial outcome measures (repeated measures, growth curves). Depending on the purpose of the study, one may wish to estimate and compare serial trends over time while accounting for possibly non-ignorable dropout or one may wish to investigate any associations that may exist between...
متن کاملAn analysis of the recurrence-progression process in bladder carcinoma by means of joint frailty models
Multiple sequential recurrences are one of themost important characteristics of superficial transitional cell carcinoma of the bladder, more than 50% of the patients will have recurrences (reappearance of a new superficial tumor). When in the same subject recurrent events are considered and these observed events are clustered into groups, independence between the clustered survival times cannot...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2009