About the book
Statistics is one of the most applied branches of mathematics in science, and Statisticians have made advances in complex statistical methods. Some of the topics that have had development in medical statistics are models for diagnostic tests in the absence of a gold standard, novel network meta-analysis techniques for clinical trials or diagnostic tests, multicollinearity problems in regression models, and statistical methods for adaptive and sequential approaches in clinical trials.
The application of these complex statistical models provides a greater understanding of the complex processes and mechanisms. Complex statistical models are a powerful tool that enables researchers in the health and medical sciences to increase their knowledge and understanding of complex systems and thus advance knowledge.
This book is devoted to applying complex models to health and medical sciences, both the classical and Bayesian approaches, and this book contain documentation of the contributions with the codes or script of the data analysis, that is relevant because it will help readers apply the models to new contexts.