We review statistical methods for analysing healthcare resource use and costs, their ability
to address skewness, excess zeros, multimodality and heavy right tails, and their ease for …

This paper gives a short overview of Monte Carlo studies on the usefulness of Heckman's
(1976, 1979) two‐step estimator for estimating selection models. Such models occur …

This is a book about statistical distributions, their properties, and their application to
modelling the dependence of the location, scale, and shape of the distribution of a response …

Presents a useful guide for applications of SEM whilst systematically demonstrating various
SEM models using Mplus Focusing on the conceptual and practical aspects of Structural …

The inverse hyperbolic sine (IHS) transformation is frequently applied in econometric studies
to transform right-skewed variables that include zero or negative values. We show that …

This book provides the most comprehensive treatment to date of microeconometrics, the
analysis of individual-level data on the economic behavior of individuals or firms using …

Objective We estimated the economic impact of arthritis using 2013 US Medical Expenditure
Panel Survey (MEPS) data. Methods We calculated arthritis‐attributable and all‐cause …

The smearing estimate is proposed as a nonparametric estimate of the expected response
on the untransformed scale after fitting a linear regression model on a transformed scale …

This chapter gives an overview of recent advances in latent variable analysis. Emphasis is
placed on the strength of modeling obtained by using a flexible combination of continuous …

Health economists often use log models to deal with skewed outcomes, such as health
utilization or health expenditures. The literature provides a number of alternative estimation …