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John MacFarlane debates how we might make sense of the idea that truth is relative, and how we might use this idea to give satisfying accounts of parts of our thought and talk that have resisted traditional methods of analysis. Although there is a substantial philosophical literature on relativism about truth, going back to Plato's Theaetetus, this literature (both pro and con) has tended to focus on refutations of the doctrine, or refutations of these refutations, at the expense of saying clearly what the doctrine is. In contrast, Assessment Sensitivity begins with a clear account of what it is to be a relativist about truth, and uses this view to give satisfying accounts of what we mean when we talk about what is tasty, what we know, what will happen, what might be the case, and what we ought to do. The book seeks to provide a richer framework for the description of linguistic practices than standard truth-conditional semantics affords: one that allows not just standard contextual sensitivity (sensitivity to features of the context in which an expression is used), but assessment sensitivity (sensitivity to features of the context from which a use of an expression is assessed). The Context and Content series is a forum for outstanding original research at the intersection of philosophy, linguistics, and cognitive science. The general editor is Francois Recanati (Institut Jean-Nicod, Paris).
John MacFarlane debates how we might make sense of the idea that truth is relative, and how we might use this idea to give satisfying accounts of parts of our thought and talk that have resisted traditional methods of analysis. Although there is a substantial philosophical literature on relativism about truth, going back to Plato's Theaetetus, this literature (both pro and con) has tended to focus on refutations of the doctrine, or refutations of these refutations, at the expense of saying clearly what the doctrine is. In contrast, Assessment Sensitivity begins with a clear account of what it is to be a relativist about truth, and uses this view to give satisfying accounts of what we mean when we talk about what is tasty, what we know, what will happen, what might be the case, and what we ought to do. The book seeks to provide a richer framework for the description of linguistic practices than standard truth-conditional semantics affords: one that allows not just standard contextual sensitivity (sensitivity to features of the context in which an expression is used), but assessment sensitivity (sensitivity to features of the context from which a use of an expression is assessed). The Context and Content series is a forum for outstanding original research at the intersection of philosophy, linguistics, and cognitive science. The general editor is François Recanati (Institut Jean-Nicod, Paris).
The Highly Sensitive Brain is the first handbook to cover the science, measurement, and clinical discussion of sensory processing sensitivity (SPS), a trait associated with enhanced responsivity, awareness, depth-of-processing and attunement to the environment and other individuals. Grounded in theoretical models of high sensitivity, this volume discusses the assessment of SPS in children and adults, as well as its health and social outcomes. This edition also synthesizes up-to-date research on the biological mechanisms associated with high sensitivity, such as its neural and genetic basis. It also discusses clinical issues related to SPS and seemingly-related disorders such as misophonia, a hyper-sensitivity to specific sounds. In addition, to practical assessment of SPS embedded throughout this volume is discussion of the biological basis of SPS, exploring why this trait exists and persists in humansand other species. The Highly Sensitive Brain is a useful handbook and may be of special interest to clinicians, physicians, health-care workers, educators, and researchers. Presents a neurobiological perspective of sensory processing sensitivity (SPS) Provides assessment criteria and measurement tools for highly sensitive children and adults Discusses the health and social outcomes of being highly sensitive in children and adults Examines clinical issues related to high sensitivity Offers practical applications and a future vision for integrating high sensitivity in our society
Relative Truth examines a question which has become the focus of one of the liveliest debates in philosophy: whether truth is relative to standards of taste, values, or subjective informational states. Specially written papers by leading figures, together with a helpful introduction, make this book the starting-point for future work.
Sensitivity analysis should be considered a pre-requisite for statistical model building in any scientific discipline where modelling takes place. For a non-expert, choosing the method of analysis for their model is complex, and depends on a number of factors. This book guides the non-expert through their problem in order to enable them to choose and apply the most appropriate method. It offers a review of the state-of-the-art in sensitivity analysis, and is suitable for a wide range of practitioners. It is focussed on the use of SIMLAB – a widely distributed freely-available sensitivity analysis software package developed by the authors – for solving problems in sensitivity analysis of statistical models. Other key features: Provides an accessible overview of the current most widely used methods for sensitivity analysis. Opens with a detailed worked example to explain the motivation behind the book. Includes a range of examples to help illustrate the concepts discussed. Focuses on implementation of the methods in the software SIMLAB - a freely-available sensitivity analysis software package developed by the authors. Contains a large number of references to sources for further reading. Authored by the leading authorities on sensitivity analysis.
The Clinician's Guide to Anxiety Sensitivity Treatment and Assessment provides evidence-based strategies for clinicians looking to treat, assess and better understand anxiety sensitivity in their patients. The book delivers detailed guidance on the theoretical background and empirical support for anxiety sensitivity treatment methods, assessment strategies, and how clinicians can best prepare for sessions with their clients. Bolstered by case studies throughout, it highlights anxiety sensitivity as a transdiagnostic risk factor while also looking at the importance of lower-order sensitivity factors (physical, social, cognitive) in treatment planning, implementation and evaluation.
Randomized clinical trials are the primary tool for evaluating new medical interventions. Randomization provides for a fair comparison between treatment and control groups, balancing out, on average, distributions of known and unknown factors among the participants. Unfortunately, these studies often lack a substantial percentage of data. This missing data reduces the benefit provided by the randomization and introduces potential biases in the comparison of the treatment groups. Missing data can arise for a variety of reasons, including the inability or unwillingness of participants to meet appointments for evaluation. And in some studies, some or all of data collection ceases when participants discontinue study treatment. Existing guidelines for the design and conduct of clinical trials, and the analysis of the resulting data, provide only limited advice on how to handle missing data. Thus, approaches to the analysis of data with an appreciable amount of missing values tend to be ad hoc and variable. The Prevention and Treatment of Missing Data in Clinical Trials concludes that a more principled approach to design and analysis in the presence of missing data is both needed and possible. Such an approach needs to focus on two critical elements: (1) careful design and conduct to limit the amount and impact of missing data and (2) analysis that makes full use of information on all randomized participants and is based on careful attention to the assumptions about the nature of the missing data underlying estimates of treatment effects. In addition to the highest priority recommendations, the book offers more detailed recommendations on the conduct of clinical trials and techniques for analysis of trial data.
This User’s Guide is a resource for investigators and stakeholders who develop and review observational comparative effectiveness research protocols. It explains how to (1) identify key considerations and best practices for research design; (2) build a protocol based on these standards and best practices; and (3) judge the adequacy and completeness of a protocol. Eleven chapters cover all aspects of research design, including: developing study objectives, defining and refining study questions, addressing the heterogeneity of treatment effect, characterizing exposure, selecting a comparator, defining and measuring outcomes, and identifying optimal data sources. Checklists of guidance and key considerations for protocols are provided at the end of each chapter. The User’s Guide was created by researchers affiliated with AHRQ’s Effective Health Care Program, particularly those who participated in AHRQ’s DEcIDE (Developing Evidence to Inform Decisions About Effectiveness) program. Chapters were subject to multiple internal and external independent reviews. More more information, please consult the Agency website: www.effectivehealthcare.ahrq.gov)
The 25TH ANNIVERSARY EDITION of the original ground-breaking book on high sensitivity with over 500,000 copies sold. ARE YOU A HIGHLY SENSITIVE PERSON? Do you have a keen imagination and vivid dreams? Is time alone each day as essential to you as food and water? Are you noted for your empathy? Your conscientiousness? Do noise and confusion quickly overwhelm you? If your answers are yes, you may be a highly sensitive person (HSP) and Dr. Elaine Aron’s The Highly Sensitive Person is the life-changing guide you’ll want in your toolbox. Over twenty percent of people have this amazing, innate trait. Maybe you are one of them. A similar percentage is found in over 100 species, because high sensitivity is a survival strategy. It is also a way of life for HSPs. In this 25th anniversary edition of the groundbreaking classic, Dr. Elaine Aron, a research and clinical psychologist as well as an HSP herself, helps you grasp the reality of your wonderful trait, understand your past in the light of it, and make the most of it in your future. Drawing on her many years of study and face-to-face time spent with thousands of HSPs, she explains the changes you will need to make in order to lead a fuller, richer life. Along with a new Author’s Note, the latest scientific research, and a fresh discussion of anti-depressants, this edition of The Highly Sensitive Person is more essential than ever for creating the sense of self-worth and empowerment every HSP deserves and our planet needs. “Elaine Aron has not only validated and scientifically corroborated high sensitivity as a trait—she has given a level of empowerment and understanding to a large group of the planet’s population. I thank Dr. Aron every day for her having brought this awareness to the world.” —Alanis Morissette, artist, activist, teacher
The Wiley Paperback Series makes valuable content more accessible to a new generation of statisticians, mathematicians and scientists. Sensitivity analysis is used to ascertain how a given model output depends upon the input parameters. This is an important method for checking the quality of a given model, as well as a powerful tool for checking the robustness and reliability of its analysis. The topic is acknowledged as essential for good modelling practice and is an implicit part of any modelling field. Offers an accessible introduction to sensitivity analysis. Covers all the latest research. Illustrates concepts with numerous examples, applications and case studies. Includes contributions from the leading researchers active in developing strategies for sensitivity analysis. The principles of sensitivity analysis are carefully described and suitable methods for approaching many types of problems are given. The book introduces the modeller to the entire casual assessment chain, from data to predictions, whilst explaining the impact of source uncertainties and framing assumptions. A ‘hitch-hikers guide’ is included to allow the more experienced reader to readily access specific applications. Modellers from a wide range of disciplines, including biostatistics, economics, environmental impact assessment, chemistry and engineering will benefit greatly from the numerous examples and applications. "Presents many different sensitivity analysis methodologies and demonstrates their usefulness in scientific research." (Zentralblatt MATH)