Asset Details
Do you wish to reserve the book?
TOBIT QUANTILE REGRESSION OF LEFT-CENSORED LONGITUDINAL DATA WITH INFORMATIVE OBSERVATION TIMES
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
TOBIT QUANTILE REGRESSION OF LEFT-CENSORED LONGITUDINAL DATA WITH INFORMATIVE OBSERVATION TIMES
Do you wish to request the book?
TOBIT QUANTILE REGRESSION OF LEFT-CENSORED LONGITUDINAL DATA WITH INFORMATIVE OBSERVATION TIMES
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
TOBIT QUANTILE REGRESSION OF LEFT-CENSORED LONGITUDINAL DATA WITH INFORMATIVE OBSERVATION TIMES
2018
Overview
In many longitudinal studies, longitudinal responses are subject to left-censoring and may be correlated with observation times. In this article, we propose a Tobit quantile regression model for the analysis of left-censored longitudinal data with informative observation times and with the longitudinal responses allowed to depend on the past observation history. Estimating equation approaches are developed for parameter estimation, and the resulting estimators are shown to be consistent and asymptotically normal. A modified Majorize-Minimize algorithm is proposed to compute the proposed estimators. Simulation studies show that the proposed estimators perform well. An application to a data set from an AIDS clinical trial study is provided.
Publisher
Institute of Statistical Science, Academia Sinica and International Chinese Statistical Association
Subject
