The high proportion of zeros in typical single-cell RNA sequencing datasets has led to
widespread but inconsistent use of terminology such as dropout and missing data. Here, we …

Growth of science is a prevalent issue in science of science studies. In recent years, two new
bibliographic databases have been introduced, which can be used to study growth …

Throughout the life sciences, we routinely seek to interpret measurements and observations
using parametrized mechanistic mathematical models. A fundamental and often overlooked …

Deteriorating mental health among university students during the COVID-19 pandemic is a
serious worldwide public health concern. This study aims to examine the linkage between …

Purpose This paper aims to uncover the drivers of consumer-brand engagement on
Facebook, understood here as users' behavioral responses in the form of clicks, likes …

An Introduction to Generalized Linear Models, Fourth Edition provides a cohesive framework
for statistical modelling, with an emphasis on numerical and graphical methods. This new …

This book covers the key points of the basic logistic regression model and illustrates how to
use it properly to model a binary response variable. By harnessing the capabilities of the …

Why would an organization pursue membership in an organizational category, yet forego
opportunities to subsequently promote that membership? Drawing on prior research, we …

Handbook of Regression Methods concisely covers numerous traditional, contemporary,
and nonstandard regression methods. The handbook provides a broad overview of …

The generation of platform content is essential for platform growth and competition.
However, the overwhelming number of platform complementors makes it impossible for …