The book "Monte-Carlo Simulation-Based Statistical Modeling" offers a comprehensive collection of contributions from leading researchers focused on statistical modeling based on Monte Carlo simulations. It serves as a forum for the exchange of current methodological developments and their applications in the field of public health. The structure of the book is divided into three parts: the first part provides an introduction to Monte Carlo techniques, the second part addresses methods for handling missing data using Monte Carlo approaches, and the third part is dedicated to Bayesian and general statistical modeling using Monte Carlo simulations. The data and computer programs used in this book are made publicly available, allowing readers to replicate model development and data analyses and apply them in their own research. With its highly relevant content, the book has the potential to influence model development and data analyses across a variety of disciplines and stimulate further research initiatives.