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The book provides an accessible but comprehensive overview of methods for mediation and interaction. There has been considerable and rapid methodological development on mediation and moderation/interaction analysis within the causal-inference literature over the last ten years. Much of this material appears in a variety of specialized journals, and some of the papers are quite technical. There has also been considerable interest in these developments from empirical researchers in the social and biomedical sciences. However, much of the material is not currently in a format that is accessible to them. The book closes these gaps by providing an accessible, comprehensive, book-length coverage of mediation.
The book begins with a comprehensive introduction to mediation analysis, including chapters on concepts for mediation, regression-based methods, sensitivity analysis, time-to-eventThe book provides an accessible but comprehensive overview of methods for mediation and interaction. There has been considerable and rapid methodological development on mediation and moderation/interaction analysis within the causal-inference literature over the last ten years. Much of this
A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning.The mathematization of causality is a relatively recent development, and has become increasingly important in data science and machine learning. This book offers a
Most questions in social and biomedical sciences are causal in nature: what would happen to individuals, or to groups, if part of their environment were changed? In this groundbreaking text, two world-renowned experts present statistical methods for studying such questions. This book starts with
An accessible, contemporary introduction to the methods for determining cause and effect in the social sciences 'Causation versus correlation has been the basis of arguments--economic and otherwise--since the beginning of time. Causal Inference: The Mixtape uses legit real-world examples that I
Focusing on Bayesian approaches and computations using analytic and simulation-based methods for inference, Time Series: Modeling, Computation, and Inference, Second Edition integrates mainstream approaches for time series modeling with significant recent developments in methodology and
Mediation has become a common technique for terminating violent conflicts both within and between states; while mediation has a strong record in reducing hostilities, it is not without its own problems. In The Mediation Dilemma, Kyle Beardsley highlights its long-term limitations. The result of
Written for the highly successful Methods in Molecular Biology series, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, tips on troubleshooting and avoiding known
Information theory and inference, often taught separately, are here united in one entertaining textbook. These topics lie at the heart of many exciting areas of contemporary science and engineering - communication, signal processing, data mining, machine learning, pattern recognition, computational
An introduction to the Bayesian approach to statistical inference that demonstrates its superiority to orthodox frequentist statistical analysis.This book offers an introduction to the Bayesian approach to statistical inference, with a focus on nonparametric and distribution-free methods. It covers
The Handbook of Stochastic Methods covers systematically and in simple language the foundations of Markov systems, stochastic differential equations, Fokker-Planck equations and stochastic master equations. Strong emphasis is placed on systematic approximation methods for solving problems. The
The Latest Methods for Preventing and Controlling Corrosion in All Types of Materials and Applications Now you can turn to Corrosion Engineering for expert coverage of the theory and current practices you need to understand water, atmospheric, and high-temperature corrosion processes. This
Designed to work as a first introduction to numerical analysis and numerical methods for undergraduate students, the authors have utilized their wide experience of teaching these subjects by incorporating the small details that a beginner might find difficult to understand. The book takes the
Get a thorough overview of sustainable methods for site, residential and commercial building construction with this comprehensive text, which covers both traditional and contemporary materials, current industry standards and new and emerging technologies. The only text organized according to the
Now in its 7th edition, Mathematical Methods for Physicists continues to provide all the mathematical methods that aspiring scientists and engineers are likely to encounter as students and beginning researchers. This bestselling text provides mathematical relations and their proofs essential to the
A brief history of diffusion in physics Part I Basics of numerical methods for diffusion phenomena in building physics 2. Heat and Mass Diffusion in Porous Building Elements 2.1 A brief historical 2.2 Heat and mass diffusion models 2.3 Boundary conditions 2.4 Discretization 2.5 Stability
Engineering Multicellular Systems: Methods and Protocols, focuses on laboratory procedures used in recent efforts for constructing synthetic multicellular systems and their applications. In particular, constructing multicellular systems to form various microbial ecosystems has been extensively
Applied work in business and economics often require a solid understanding of econometric methods to support decision making. This book provides this, encouraging an active engagement with these methods by means of examples and exercises, so that the student develops a working understanding and
For more than 100 years, Henry's Clinical Diagnosis and Management by Laboratory Methods has been recognized as the premier text in clinical laboratory medicine, widely used by both clinical pathologists and laboratory technicians. Leading experts in each testing discipline clearly explain
This introduction to the singularly perturbed methods in the nonlinear elliptic partial differential equations emphasises the existence and local uniqueness of solutions exhibiting concentration property. The authors avoid using sophisticated estimates and explain the main techniques by thoroughly
This volume details fast-moving research while providing in-depth descriptions of methods and analytical approaches that are helping to understand the genome and how it is related to complex diseases. Chapters guide the reader through common and rare variation, gene-gene and gene-environment
A general organismic-causal theory that explicates working memory and executive function developmentally, clarifying the nature of human intelligence. In The Working Mind, Juan Pascual-Leone and Janice M. Johnson propose a general organismic-causal theory that explicates working memory and
This modern treatment of computer vision focuses on learning and inference in probabilistic models as a unifying theme. It shows how to use training data to learn the relationships between the observed image data and the aspects of the world that we wish to estimate, such as the 3D structure or the
This book uses visual research methods to investigate architecture, landscape design and interior architecture. It presents a diverse selection of interdisciplinary approaches for the architect or architectural researcher to use their gaze as part of their research practice for the purpose of