Statistical Theory & Methods

In Changepower! 37 Secrets to Habit Change Success, author Meg Selig guides readers through a step-by-step process that will help them achieve any habit change goal. Whether the reader wants to break a hurtful habit like smoking or overeating, or build a healthy habit like exercising or speaking up,..

This text describes regression-based approaches to analyzing longitudinal and repeated measures data. It emphasizes statistical models, discusses the relationships between different approaches, and uses real data to illustrate practical applications. It uses commercially available software when it ..

Not just a set of cookbook recipes, Principles of Medical Statistics is designed to get readers thinking about data and statistical procedures. It covers many of the newew statistical methods and approaches and is arranged in a logical sequence that advances from simple to more elaborate results. T..

The author uses concrete examples to explain fundamental principles behind scientific research and analogies to arrive at a general principle or common notion. The scientific method is used to understand how and why things happen, make predictions, prevent mistakes, and solve problems...

The book discusses fundamental considerations for modeling network data of various kinds. The book's major novelty is the emphasis on understanding and building models from first principles, rather than choosing from a list of models that are already available. A main goal of the book is to explain ..

With contributions by leaders in the field, this book provides a comprehensive introduction to the foundations of probability and statistics. Each of the chapters covers a major topic and offers an intuitive view of the subject matter, methodologies, concepts, terms, and related applications. The bo..

Written in a lecture format with solutions at the end of each chapter, this book serves to familiarize the reader with quantitative techniques utilized in planning and optimizing complex systems, through examples and problems...

This book provides a broad perspective of new quantitative methods in HIV/AIDS research, contributed by those immersed in HIV research. It is the editors’ hope that the work will inspire more statisticians, mathematicians and computer scientists to collaborate and contribute to the interdisciplinary..

Requiring only basic knowledge of statistics and calculus, this comprehensive, accessible text provides an introduction to a diverse assortment of regression techniques using SAS to solve a wide variety of regression problems. The author fully documents the SAS programs and thoroughly explains the o..

This book provides the application of generalized linear mixed-effects models and its related models in the statistical design and analysis of repeated measures adopted in randomized controlled trials. With increasing concerns about intra-patient variability of treatment effects, the traditional ANC..

Presents techniques for designing experiments that yield adequate and reliable measurements of one or several responses of interest, fitting and testing the suitability of empirical models used for acquiring information from the experiments, and for utilizing the experimental results to make decisio..

This book gives a non-technical overview of robust data reduction techniques, encouraging the use of these important and useful methods in practical applications. The main areas covered include principal components analysis, sparse principal component analysis, canonical correlation analysis, factor..