Grouped GEE Analysis for Longitudinal Data

06/11/2020
by   Tsubasa Ito, et al.
0

Generalized estimating equation (GEE) is widely adopted for regression modeling for longitudinal data, taking account of potential correlations within the same subjects. Although the standard GEE assumes common regression coefficients among all the subjects, such assumption is not realistic when there are potential heterogeneity in regression coefficients among subjects. In this paper, we develop a flexible and interpretable approach, called grouped GEE analysis, to modeling longitudinal data with allowing heterogeneity in regression coefficients. The proposed method assumes that the subjects are divided into a finite number of groups and subjects within the same group share the same regression coefficient. We provide a simple algorithm for grouping subjects and estimating the regression coefficients simultaneously, and show asymptotic properties of the proposed estimator. The number of groups can be determined by an information criteria using quasi-likelihood. We demonstrate the proposed method through simulation studies and an application to a real dataset.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
12/09/2021

Multi-Kink Quantile Regression for Longitudinal Data with Application to the Progesterone Data Analysis

Motivated by investigating the relationship between progesterone and the...
research
10/22/2018

Weighted asymmetric least squares regression for longitudinal data using GEE

The well-known generalized estimating equations (GEE) is widely used to ...
research
04/20/2018

Empirical-likelihood-based criteria for model selection on marginal analysis of longitudinal data with dropout missingness

Longitudinal data are common in clinical trials and observational studie...
research
12/07/2019

An interpretable probabilistic machine learning method for heterogeneous longitudinal studies

Identifying risk factors from longitudinal data requires statistical too...
research
01/04/2022

Supervised Homogeneity Fusion: a Combinatorial Approach

Fusing regression coefficients into homogenous groups can unveil those c...
research
06/09/2022

Locally sparse estimator of generalized varying coefficient model for asynchronous longitudinal data

In longitudinal study, it is common that response and covariate are not ...
research
06/18/2018

Quantile Regression of Latent Longitudinal Trajectory Features

Quantile regression has demonstrated promising utility in longitudinal d...

Please sign up or login with your details

Forgot password? Click here to reset