Beyond Multiple Linear Regression: Applied Generalized Linear Models and Multilevel
Models in R is designed for undergraduate students who have successfully completed a …

Purpose Macular imaging with optical coherence tomography (OCT) measures the most
critical retinal ganglion cells (RGCs) in the human eye. The goal of this perspective is to …

Survival data analysis is a very broad field of statistics, encompassing a large variety of
methods used in a wide range of applications, and in particular in medical research. During …

Purpose: Develop a hierarchical longitudinal regression model for estimating local rates of
change of macular ganglion cell complex (GCC) measurements with optical coherence …

We investigated the longitudinal relationship between erectile dysfunction (ED) drug use
with behavioral factors, including substance use and sexual activities in men who have sex …

Background Improvements in kidney function post–bariatric surgery may be related to
weight loss–independent effects. Objectives To characterize the dynamic relationship …

This paper describes the R package cold for the analysis of count longitudinal data. In this
package marginal and random effects models are considered. In both cases estimation is …

Background Immuno-epidemiologists are often faced with multivariate outcomes, measured
repeatedly over time. Such data are characterised by complex inter-and intra-outcome …

In this chapter, we consider a new approach that performs simultaneous selection of both
fixed effects and random effects with a general class of shrinkage penalty functions. Our …

This study investigated the influence of coping strategies on quality of life of mothers living
with HIV over 24 months postpartum. Fifty-six Brazilian mothers living with HIV answered …