Solutions to exercises from a great book Data analysis using regression and multilevel hierarchical models. The book implies it to be in R, but due to python being my main tool for dealing with data, ...

Volume 1 begins with an introductory chapter by Gilbert Saporta, a leading expert in the field, who summarizes the developments in data analysis over the last 50 years. The book is then divided into ...

This repository contains the public version of Regression Modeling for Linguistic Data, a book under contract with MIT Press. RMLD is an intermediate book on statistical analysis for language ...

According to their BMI scores, they have been grouped into normal weight and overweight/obese. Data were collected with an online questionnaire assessing variables of the theory of planned behavior ...

Data analysis enables you to generate value from small and big data by discovering new patterns and trends, and Python is one of the most popular tools for analyzing a wide variety of data. With this ...

Cambridge University Press Gelman, A., & Hill, J. (2006). Data analysis using regression and multilevel/hierarchical models. Cambridge University Press. Skrondal, A. and Rabe-Hesketh (2004) ...

Design and participants: Data were used from the health survey conducted ... logistic scale and the prevalence in a given area on the logistic scale. In multilevel regression analysis, the area level ...