Abstract Instrumental variables is a popular method in epidemiology and related fields, to estimate causal effects in the presence of unmeasured confounding. Traditionally, instrumental variable analyses have been confined to linear models, in which the causal parameter of interest is typically...

The paper has two practical purposes. The first one is to analyze how successfully R can be used for data analysis on surveys carried out by the Statistical Office of the Republic of Slovenia. In order to achieve this goal, we analyzed the data of the Monthly Statistical Survey on Earnings Paid...

This paper exposes the methodology of creating migrant’s profile before crisis and after crisis using logistic regression in R. The profile was created based on some social and demographic characteristics provided by the 2007 and 2011 Labour Force Survey, assuring the representativeness of...

Nowadays knowledge is power. In the informational era, the ability to manipulate large datasets is essential for making long term strategies. More and more companies and official statistics offices need to use large databases but also by increasing the volume of data it increases the complexity...