Semiparametric additive marginal regression models for multiple type recurrent events
نویسندگان
چکیده
منابع مشابه
Marginal Regression Models for Recurrent and Terminal Events
A major complication in the analysis of recurrent event data from medical studies is the presence of death. We consider the marginal mean function for the cumulative number of recurrent events over time, acknowledging the fact that death precludes further recurrences. We specify that covariates have multiplicative effects on an arbitrary baseline mean function while leaving the stochastic struc...
متن کاملMarginal regression of gaps between recurrent events.
Recurrent event data typically exhibit the phenomenon of intra-individual correlation, owing to not only observed covariates but also random effects. In many applications, the population may be reasonably postulated as a heterogeneous mixture of individual renewal processes, and the inference of interest is the effect of individual-level covariates. In this article, we suggest and investigate a...
متن کاملMarginal means/rates models for multiple type recurrent event data.
Recurrent events are frequently observed in biomedical studies, and often more than one type of event is of interest. Follow-up time may be censored due to loss to follow-up or administrative censoring. We propose a class of semi-parametric marginal means/rates models, with a general relative risk form, for assessing the effect of covariates on the censored event processes of interest. We formu...
متن کاملSemiparametric additive isotonic regression
Article history: Received 15 November 2007 Received in revised form 4 September 2008 Accepted 4 September 2008 Available online 5 October 2008
متن کاملBayesian semiparametric additive quantile regression
Quantile regression provides a convenient framework for analyzing the impact of covariates on the complete conditional distribution of a response variable instead of only the mean. While frequentist treatments of quantile regression are typically completely nonparametric, a Bayesian formulation relies on assuming the asymmetric Laplace distribution as auxiliary error distribution that yields po...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Lifetime Data Analysis
سال: 2012
ISSN: 1380-7870,1572-9249
DOI: 10.1007/s10985-012-9226-4