Investigating the differential effect of treatments in groups defined by patient characteristics
is of paramount importance in personalized medicine research. In some studies, participants …

We develop purely nonparametric methods for the analysis of repeated measures designs
with missing values. Hypotheses are formulated in terms of purely nonparametric treatment …

The issue of missing values is an arising difficulty when dealing with paired data. Several
test procedures are developed in the literature to tackle this problem. Some of them are even …

Several statistical tests have been proposed in the literature to assess the difference
between two scale parameters in paired data. If the location parameters of each sample are …

The introduction of potentially toxic elements (PTEs) from industrial activities in water bodies,
highlights the vulnerability of the environment and the need for actions focused on the …

An often encountered problem in pre-clinical, early clinical or translational studies is the
analysis of complex data structures. In such studies, sample sizes are typically quite small; …

In pre-post factorial designs involving clustered units, parametric methods such as
generalized linear mixed effects models are used to handle within subject correlations …

Rideshare drivers use smartphones to accept or reject rider requests and typically engage in
texting or phone conversations to locate passengers while driving. Before this study, limited …

An often encountered problem in pre-clinical, early clinical or translational studies is the
analysis of complex data structures. In such studies, sample sizes are typically quite small; …

Clinical trials are often used to assess drug efficacy and safety. Participants are sometimes
pre-stratified into different groups by diagnostic tools. However, these diagnostic tools are …