Health care expenditures and use are challenging to model because these dependent
variables typically have distributions that are skewed with a large mass at zero. In this article …

Because structural equation modeling (SEM) has become a very popular data-analytic
technique, it is important for clinical scientists to have a balanced perception of its strengths …

In this article, we present ppmlhdfe, a new command for estimation of (pseudo-) Poisson
regression models with multiple high-dimensional fixed effects (HDFE). Estimation is …

Body image disturbance is associated with several mental disorders. Previous research on
body image has focused mostly on women, largely neglecting body image in men …

When outcome variables are ordinal rather than continuous, the ordered logit model, aka the
proportional odds model (ologit/po), is a popular analytical method. However, generalized …

Straightforward, clear, and applied, this book will give you the theoretical and practical basis
you need to apply data analysis techniques to real data. Combining key statistical concepts …

This research aims at exploring the relationship between a firm's strategic orientation,
marketing management in terms of marketing mix tactics, and innovation performance. We …

En este trabajo se elabora un marco conceptual y se desarrollan unos principios básicos
para fundamentar un sistema de clasificación de los diseños de investigación más usuales …

Objective This study aimed to examine the association of loneliness and social isolation on
cognition over a 3‐year follow‐up period in middle‐and older‐aged adults. Methods Data …

This book is about learning from data using the Generalized Additive Models for Location,
Scale and Shape (GAMLSS). GAMLSS extends the Generalized Linear Models (GLMs) and …