Robust statistics is an extension of classical statistics that specifically takes into account the
concept that the underlying models used to describe data are only approximate. Its basic …

Background Research emphasizes the relevance of mindsets for SRL and academic
achievement. Aims This paper reports three studies that aim to detect profiles of mindsets …

The presence of heterogeneous variances is the norm in practice, which makes machine
learning predictions less reliable when noise variances are implicitly assumed to be equal …

Background High quality patient-clinician communication is widely advocated, but little is
known about which health outcomes are associated with communication for patients with …

BACKGROUND: Inhaled corticosteroids (ICSs) are widely used in the treatment of
obstructive lung disease. ICSs have been shown to be systemically absorbed. The …

In this paper, we focus on single-index models for longitudinal data. We propose a
procedure to estimate the single-index component and the unknown link function based on …

This paper presents a unified framework for supervised learning and inference procedures
using the divide-and-conquer approach for high-dimensional correlated outcomes. We …

This paper presents a new efficient and robust smooth-threshold generalized estimating
equations for generalized linear models (GLMs) with longitudinal data. The proposed …

In this paper, we consider robust generalized estimating equations for the analysis of
semiparametric generalized partial linear mixed models (GPLMMs) for longitudinal data. We …

In this paper, we generalize the single-index models to the scenarios with random effects.
The introduction of the random effects raises interesting inferential challenges. Instead of …