Author: Ewout W. Steyerberg
Publisher: Springer
ISBN: 3030163997
Category : Medical
Languages : en
Pages : 574
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Book Description
The second edition of this volume provides insight and practical illustrations on how modern statistical concepts and regression methods can be applied in medical prediction problems, including diagnostic and prognostic outcomes. Many advances have been made in statistical approaches towards outcome prediction, but a sensible strategy is needed for model development, validation, and updating, such that prediction models can better support medical practice. There is an increasing need for personalized evidence-based medicine that uses an individualized approach to medical decision-making. In this Big Data era, there is expanded access to large volumes of routinely collected data and an increased number of applications for prediction models, such as targeted early detection of disease and individualized approaches to diagnostic testing and treatment. Clinical Prediction Models presents a practical checklist that needs to be considered for development of a valid prediction model. Steps include preliminary considerations such as dealing with missing values; coding of predictors; selection of main effects and interactions for a multivariable model; estimation of model parameters with shrinkage methods and incorporation of external data; evaluation of performance and usefulness; internal validation; and presentation formatting. The text also addresses common issues that make prediction models suboptimal, such as small sample sizes, exaggerated claims, and poor generalizability. The text is primarily intended for clinical epidemiologists and biostatisticians. Including many case studies and publicly available R code and data sets, the book is also appropriate as a textbook for a graduate course on predictive modeling in diagnosis and prognosis. While practical in nature, the book also provides a philosophical perspective on data analysis in medicine that goes beyond predictive modeling. Updates to this new and expanded edition include: • A discussion of Big Data and its implications for the design of prediction models • Machine learning issues • More simulations with missing ‘y’ values • Extended discussion on between-cohort heterogeneity • Description of ShinyApp • Updated LASSO illustration • New case studies
Author: Bruno D. Zumbo
Publisher: Springer
ISBN: 3319077945
Category : Social Science
Languages : en
Pages : 329
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Book Description
This book combines an overview of validity theory, trends in validation practices and a review of standards and guidelines in several international jurisdictions with research synthesis of the validity evidence in different research areas. An overview of theory is both useful and timely, in view of the increased use of tests and measures for decision-making, ranking and policy purposes in large-scale testing, assessment and social indicators and quality of life research. Research synthesis is needed to help us assemble, critically appraise and integrate the overwhelming volume of research on validity in different contexts. Rather than examining whether any given measure is “valid”, the focus is on a critical appraisal of the kinds of validity evidence reported in the published research literature. The five sources of validity evidence discussed are: content-related, response processes, internal structure, associations with other variables and consequences. The 15 syntheses included here, represent a broad sampling of psychosocial, health, medical and educational research settings, giving us an extensive evidential basis to build upon earlier studies. The book concludes with a meta-synthesis of the 15 syntheses and a discussion of the current thinking of validation practices by leading experts in the field.
Author:
Publisher:
ISBN:
Category : Medical instruments and apparatus industry
Languages : en
Pages : 32
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Book Description
Author: National Research Council
Publisher: National Academies Press
ISBN: 030918651X
Category : Medical
Languages : en
Pages : 163
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Book Description
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.
Author: Robert J. Craig
Publisher: John Wiley & Sons
ISBN: 0471727210
Category : Psychology
Languages : en
Pages : 434
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Book Description
New Directions in Interpreting the Millon Clinical Multiaxial Inventory, edited by a leading MCMI researcher and featuring contributions from internationally renowned scholars in personality assessment, presents new methods of interpretation and new clinical applications for this classic objective measure of personality. This dynamic new handbook discusses issues related to the effect of culture on MCMI-III results and controversies regarding its forensic applications, and presents research related to the MCMI-III's diagnostic power with regard to diagnosis and malingering.
Author: Elizabeth E. Graham
Publisher: Routledge
ISBN: 1351397133
Category : Language Arts & Disciplines
Languages : en
Pages : 451
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Book Description
Building on the measures included in the original 1994 volume and subsequent 2009 volume, Communication Research Measures III: A Sourcebook extends its coverage of measurement issues and trends across the entire communication discipline. Volume III features entirely new content and offers an assessment of new measures in mass, interpersonal, instructional, group, organizational, family, health, and intercultural communication and highlights work in emergent subdisciplines in communication, including social media and new communication technologies, sports communication, and public relations. The “best of the best” from 2009 through today, the profiled research measures in Volume III serve as models for future scale development and constitute the main tools that researchers can use for self-administered measurement of people’s attitudes, conceptions of themselves, and perceptions of others. This book is ideal for undergraduate and graduate courses that emphasize quantitative research methods, measurement, and/or survey design across communication studies disciplines.
Author: Stuart A. Kirk
Publisher: Transaction Publishers
ISBN: 1412849764
Category : Medical
Languages : en
Pages : 359
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Book Description
When it comes to understanding and treating madness, distortions of research are not rare, misinterpretation of data is not isolated, and bogus claims of success are not voiced by isolated researchers seeking aggrandizement. This book's detailed analyses of coercion and community treatment, diagnosis, and psychopharmacology reveals that these characteristics of bad science are endemic, institutional, and protected in psychiatry. This is mad science. Mad Science argues that the fundamental claims of modern American psychiatry are not based on convincing research, but on misconceived, flawed, and distorted science. The authors address multiple paradoxes in American mental health, including the remaking of coercion into scientific psychiatric treatment in the community, the adoption of an unscientific diagnostic system that now controls the distribution of services, and how drug treatments have failed to improve the mental health outcome. This book provides an engaging and readable scientific and social critique of current mental health practices. The authors are scholars, researchers, and clinicians who have written extensively about community care, diagnosis, and psychoactive drugs. Mad Science is a must read for all specialists in the field as well as for the informed public.
Author: Carol A. Chapelle
Publisher: Cambridge University Press
ISBN: 110860238X
Category : Language Arts & Disciplines
Languages : en
Pages : 371
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Book Description
Language tests play pivotal roles in education, research on learning, and gate-keeping decisions. The central concern for language testing professionals is how to investigate whether or not tests are appropriate for their intended purposes. This book introduces an argument-based validity framework to help with the design of research that investigates the validity of language test interpretation and use. The book presents the principal concepts and technical terms, then shows how they can be implemented successfully in practice through a variety of validation studies. It also demonstrates how argument-based validity intersects with technology in language testing research and highlights the use of validity argument for identifying research questions and interpreting the results of validation research. Use of the framework helps researchers in language testing to communicate clearly and consistently about technical issues with each other and with researchers of other types of tests.
Author:
Publisher: Elsevier
ISBN: 0128032014
Category : Technology & Engineering
Languages : en
Pages : 4609
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Book Description
Comprehensive Medicinal Chemistry III, Eight Volume Set provides a contemporary and forward-looking critical analysis and summary of recent developments, emerging trends, and recently identified new areas where medicinal chemistry is having an impact. The discipline of medicinal chemistry continues to evolve as it adapts to new opportunities and strives to solve new challenges. These include drug targeting, biomolecular therapeutics, development of chemical biology tools, data collection and analysis, in silico models as predictors for biological properties, identification and validation of new targets, approaches to quantify target engagement, new methods for synthesis of drug candidates such as green chemistry, development of novel scaffolds for drug discovery, and the role of regulatory agencies in drug discovery. Reviews the strategies, technologies, principles, and applications of modern medicinal chemistry Provides a global and current perspective of today's drug discovery process and discusses the major therapeutic classes and targets Includes a unique collection of case studies and personal assays reviewing the discovery and development of key drugs
Author: Institute of Medicine
Publisher: National Academies Press
ISBN: 0309316324
Category : Medical
Languages : en
Pages : 236
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Book Description
Data sharing can accelerate new discoveries by avoiding duplicative trials, stimulating new ideas for research, and enabling the maximal scientific knowledge and benefits to be gained from the efforts of clinical trial participants and investigators. At the same time, sharing clinical trial data presents risks, burdens, and challenges. These include the need to protect the privacy and honor the consent of clinical trial participants; safeguard the legitimate economic interests of sponsors; and guard against invalid secondary analyses, which could undermine trust in clinical trials or otherwise harm public health. Sharing Clinical Trial Data presents activities and strategies for the responsible sharing of clinical trial data. With the goal of increasing scientific knowledge to lead to better therapies for patients, this book identifies guiding principles and makes recommendations to maximize the benefits and minimize risks. This report offers guidance on the types of clinical trial data available at different points in the process, the points in the process at which each type of data should be shared, methods for sharing data, what groups should have access to data, and future knowledge and infrastructure needs. Responsible sharing of clinical trial data will allow other investigators to replicate published findings and carry out additional analyses, strengthen the evidence base for regulatory and clinical decisions, and increase the scientific knowledge gained from investments by the funders of clinical trials. The recommendations of Sharing Clinical Trial Data will be useful both now and well into the future as improved sharing of data leads to a stronger evidence base for treatment. This book will be of interest to stakeholders across the spectrum of research-from funders, to researchers, to journals, to physicians, and ultimately, to patients.
