A practical guide to analysing partially observed data.Collecting, analysing and drawing inferences from data is central to research in the medical and social sciences. Unfortunately, it is rarely possible to collect all the intended data. The literature on inference from the resulting incomplete data is now huge, and continues to grow both as methods are developed for large and complex data structures, and as increasing computer power and suitable software enable ...

Using case studies and historical analysis, this book traces changes in ways that journalists understood their ethical responsibilities during the pre-internet twentieth century. Each chapter in this book explores a historical development in the evolution of journalists’ perceptions of their role as professionals.

Design and Analysis of Cross-Over Trials is concerned with a specific kind of comparative trial known as the cross-over trial, in which subjects receive different sequences of treatments. Such trials are widely used in clinical and medical research, and in other diverse areas such as veterinary science, psychology, sports science, and agriculture.T

Multiple Imputation and its ApplicationThe most up-to-date edition of a bestselling guide to analyzing partially observed dataIn this comprehensively revised Second Edition of Multiple Imputation and its Application, a team of distinguished statisticians delivers an overview of the issues raised by missing data, the rationale for multiple imputation as a solution, and the practicalities of applying it in a multitude of settings.

Cognitive Systems - Information Processing Meets Brain Science presents an overview of the exciting, truly multidisciplinary research by neuroscientists and systems engineers in the emerging field of cognitive systems, providing a cross-disciplinary examination of this cutting-edge area of scientific research. This is a great example of where research in very different disciplines touches to create a new emerging area of research. The book illustrates some of the technical developments tha...

How is it that thoroughly physical material beings such as ourselves can think, dream, feel, create and understand ideas, theories and concepts? How does mere matter give rise to all these non-material mental states, including consciousness itself? An answer to this central question of our existence is emerging at the busy intersection of neuroscience, psychology, artificial intelligence, and robotics. In this groundbreaking work, philosopher and cognitive scientist Andy Clark explores exc...

Understanding how the brain learns helps teachers do their jobs more effectively. Primary researchers share the latest findings on the learning process and address their implications for educational theory and practice. Explore applications, examples, and suggestions for further thought and research; numerous charts and diagrams; strategies for all subject areas; and new ways of thinking about intelligence, academic ability, and learning disability.

Designing Experiments and Analyzing Data: A Model Comparison Perspective (3rd edition) offers an integrative conceptual framework for understanding experimental design and data analysis. Maxwell, Delaney, and Kelley first apply fundamental principles to simple experimental designs followed by an application of the same principles to more complicated designs. Their integrative conceptual framework better prepares readers to understand the logic behind a general strategy of data analysis tha...

While most books on missing data focus on applying sophisticated statistical techniques to deal with the problem after it has occurred, this volume provides a methodology for the control and prevention of missing data. In clear, nontechnical language, the authors help the reader understand the different types of missing data and their implications for the reliability, validity, and generalizability of a study’s conclusions. They provide practical recommendations for designing studies that ...

A valuable overview of the most important ideas and results in statistical modelingWritten by a highly-experienced author, Foundations of Linear and Generalized Linear Models is a clear and comprehensive guide to the key concepts and results of linearstatistical models. The book presents a broad, in-depth overview of the most commonly usedstatistical models by discussing the theory underlying the models, R software applications,and examples with crafted mo...

* Includes a new chapter on logistic regression.* Discusses the design and analysis of random trials.* Explores the latest applications of sample size tables.* Contains a new section on binomial distribution.

In Emergence, Mind, and Consciousness, author Gary A. Lucas does something that many consider impossible: he bridges the gap between a bottom-up description of brain mechanisms and the top-down emergence of mental processes. The result is a comprehensive yet readily understandable explanation of how consciousness emerges.Lucas, however, strives to do more. He seeks to design an artificial agent with all the essential properties of the human mind consciousness, declarative ...