Providing long-term care (LTC) to the elderly is a major challenge for the welfare state. LTC
systems differ widely among countries. Due to recent maturation, economization, and …

Predictive mean matching (PMM) is a standard technique for the imputation of incomplete
continuous data. PMM imputes an actual observed value, whose predicted value is among a …

Researchers frequently have to analyze scales in which some participants have failed to
respond to some items. In this paper we focus on the exploratory factor analysis of …

Theories of social bonding and social capital support the argument that positive family
relationships are important for resilience in resettlement after release from prison. However …

Empirical data are seldom completely observed. How to adequately analyse data sets
affected by missing values is usually not the focus of courses at bachelor or master level …

Objectives Only a handful of studies on developmental crime prevention contain very long-
term evaluations and all these addressed high-risk groups in English-speaking countries. In …

Abstract This Study contains Value Added Tax (VAT) Gap estimates for 2018, fast estimates
using a simplified methodology for 2019, the year immediately preceding the analysis, and …

The importance of preventing and treating incomplete data in effectiveness studies is
nowadays emphasized. However, most of the publications focus on randomized clinical …

We propose a supervised learning approach using publicly available panel data to
statistically quantify the specific manifestations of human impacts of an extreme event, such …

Empirical count data are often zero‐inflated and overdispersed. Currently, there is no
software package that allows adequate imputation of these data. We present multiple …