Scale mixture of skew‐normal linear mixed models with within‐subject serial dependence
In longitudinal studies, repeated measures are collected over time and hence they tend to
be serially correlated. These studies are commonly analyzed using linear mixed models …
be serially correlated. These studies are commonly analyzed using linear mixed models …
A robust nonlinear mixed-effects model for COVID-19 deaths data
The analysis of complex longitudinal data such as COVID-19 deaths is challenging due to
several inherent features:(i) Similarly-shaped profiles with different decay patterns;(ii) …
several inherent features:(i) Similarly-shaped profiles with different decay patterns;(ii) …
Approximate inferences for nonlinear mixed effects models with scale mixtures of skew-normal distributions
Nonlinear mixed effects models have received a great deal of attention in the statistical
literature in recent years because of their flexibility in handling longitudinal studies, including …
literature in recent years because of their flexibility in handling longitudinal studies, including …
Robustifying Marginal Linear Models for Correlated Responses Using a Constructive Multivariate Huber Distribution
R Mohammadi, I Kazemi - … Analysis and Data Mining: The ASA …, 2025 - Wiley Online Library
The marginal regression model is convenient for analyzing correlated responses, including
repeated measures and longitudinal data. This paper proposes a robust marginal linear …
repeated measures and longitudinal data. This paper proposes a robust marginal linear …
A robust linear mixed-effects model for longitudinal data using an innovative multivariate skew-Huber distribution
R Mohammadi, I Kazemi - Journal of Multivariate Analysis, 2022 - Elsevier
Conventional linear mixed-effects modeling is routinely challenging when the validity of
necessary assumptions is suspicious. In particular, robustifying model fitting is appealing in …
necessary assumptions is suspicious. In particular, robustifying model fitting is appealing in …
[PDF][PDF] skewlmm: An R package for robust estimation of linear mixed models based on scale mixture of skew-normal distributions
Linear mixed models are frequently used to analyze repeated measures data, because they
model flexibly the within-subject correlation often present in this type of data. Usually for …
model flexibly the within-subject correlation often present in this type of data. Usually for …
[PDF][PDF] COVID-19 DEATHS DATA
FL Schumacher, CS Ferreira, MO Prates, A Lachos… - 2020 - researchgate.net
The analysis of complex longitudinal data such as COVID-19 deaths is challenging due to
several inherent features:(i) Similarly-shaped profiles with different decay patterns;(ii) …
several inherent features:(i) Similarly-shaped profiles with different decay patterns;(ii) …