Statistical Methods in Laboratory Medicine
Statistical Methods in Laboratory Medicine

Author: P. W. Strike

Publisher: Butterworth-Heinemann

Published: 2014-05-16

Total Pages: 553

ISBN-13: 1483161927

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Statistical Methods in Laboratory Medicine focuses on the application of statistics in laboratory medicine. The book first ponders on quantitative and random variables, exploratory data analysis (EDA), probability, and probability distributions. Discussions focus on negative binomial distribution, non-random distributions, binomial distribution, fitting the binomial model to sample data, conditional probability and statistical independence, rules of probability, and Bayes' theorem. The text then examines inference, regression, and measurement and control. Topics cover analytical goals for assay precision, estimating the error variance components, indirect structural assays, functional assays, bivariate regression model, and least-squares estimates of the functional relation parameters. The manuscript takes a look at assay method comparison studies, multivariate analysis, forecasting and control, and test interpretation. Concerns include time series structure and terminology, polynomial regression, assessing the performance of the classification rule, quantitative screening tests, sample correlation coefficient, and computer assisted diagnosis. The book is a dependable reference for medical experts and statisticians interested in the employment of statistics in laboratory medicine.

Clinical Investigation and Statistics in Laboratory Medicine
Clinical Investigation and Statistics in Laboratory Medicine

Author: Richard G. Jones

Publisher: AACC Press

Published: 1997

Total Pages: 208

ISBN-13:

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This text is designed for laboratory workers and clinicians but should also be useful for other healthcare workers. The authors assume that the reader has access to a computer with statistical software for inspection and analysis of data. The book has four main parts. Chapter 1 describes the different kinds of data and statistical analyses that can be applied to them. Topics include how to assess the shape of distributions, how to transform data, when to use parametric and non-parametric tests, and how to check data input and deal with outliers. Chapter 2 deals with the inaccuracy, imprecision, detection limits, analytical goals and other aspects of analytical methods used in laboratory medicine, and explains how to compare both quantitative and qualitative analytical methods.

Introduction to Statistical Methods in Pathology
Introduction to Statistical Methods in Pathology

Author: Amir Momeni

Publisher: Springer

Published: 2017-09-07

Total Pages: 322

ISBN-13: 3319605437

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This text provides a comprehensive and practical review of the main statistical methods in pathology and laboratory medicine. It introduces statistical concepts used in pathology and laboratory medicine. The information provided is relevant to pathologists both for their day to day clinical practice as well as in their research and scholarly activities. The text will begins by explaining the fundamentals concepts in statistics. In the later sections, these fundamental concepts are expanded and unique applications of statistical methods in pathology and laboratory medicine practice are introduced. Other sections of the text explain research methodology in pathology covering a broad range of topics from study design to analysis of data. Finally, data-heavy novel concepts that are emerging in pathology and pathology research are presented such as molecular pathology and pathology informatics. Introduction to Statistical Methods in Pathology will be of great value for pathologists, pathology residents, basic and translational researchers, laboratory managers and medical students.

Sharing Clinical Trial Data
Sharing Clinical Trial Data

Author: Institute of Medicine

Publisher: National Academies Press

Published: 2015-04-20

Total Pages: 236

ISBN-13: 0309316324

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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.

Small Clinical Trials
Small Clinical Trials

Author: Institute of Medicine

Publisher: National Academies Press

Published: 2001-01-01

Total Pages: 221

ISBN-13: 0309171148

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Clinical trials are used to elucidate the most appropriate preventive, diagnostic, or treatment options for individuals with a given medical condition. Perhaps the most essential feature of a clinical trial is that it aims to use results based on a limited sample of research participants to see if the intervention is safe and effective or if it is comparable to a comparison treatment. Sample size is a crucial component of any clinical trial. A trial with a small number of research participants is more prone to variability and carries a considerable risk of failing to demonstrate the effectiveness of a given intervention when one really is present. This may occur in phase I (safety and pharmacologic profiles), II (pilot efficacy evaluation), and III (extensive assessment of safety and efficacy) trials. Although phase I and II studies may have smaller sample sizes, they usually have adequate statistical power, which is the committee's definition of a "large" trial. Sometimes a trial with eight participants may have adequate statistical power, statistical power being the probability of rejecting the null hypothesis when the hypothesis is false. Small Clinical Trials assesses the current methodologies and the appropriate situations for the conduct of clinical trials with small sample sizes. This report assesses the published literature on various strategies such as (1) meta-analysis to combine disparate information from several studies including Bayesian techniques as in the confidence profile method and (2) other alternatives such as assessing therapeutic results in a single treated population (e.g., astronauts) by sequentially measuring whether the intervention is falling above or below a preestablished probability outcome range and meeting predesigned specifications as opposed to incremental improvement.

Oxford Handbook of Clinical and Laboratory Investigation
Oxford Handbook of Clinical and Laboratory Investigation

Author: Drew Provan

Publisher: Oxford University Press

Published: 2018

Total Pages: 1007

ISBN-13: 019876653X

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This handbook provides an authoritative guide to investigation and diagnosis. It describes key symptoms and signs, alongside appropriate tests, and highlights pitfalls in interpreting results. It also describes a clear, rational method of investigation in order to aid quick and efficient diagnosis, and prevent over-investigation of patients.

Evidence Based Pathology and Laboratory Medicine
Evidence Based Pathology and Laboratory Medicine

Author: Alberto M. Marchevsky

Publisher: Springer Science & Business Media

Published: 2011-07-01

Total Pages: 364

ISBN-13: 1441910301

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Focusing on practical, patient related issues, this volume provides the basic concepts of Evidence Based Medicine (EBM) as they relate to Pathology and Laboratory Medicine and presents various practical applications. It includes EBM concepts for use in the identification of cost-effective panels of immunostains and other laboratory tests and for improvement of diagnostic accuracy based on the identification of selected diagnostic features for particular differential diagnosis. EBM concepts are also put forth for use in Meta-analysis to integrate the results of conflicting literature reports and use of novel analytical tools such as Bayesian belief networks, neural networks, multivariate statistics and decision tree analysis for the development of new diagnostic and prognostic models for the evaluation of patients. This volume will be of great value to pathologists who will benefit from the concepts being promoted by EBM, such as levels of evidence, use of Bayesian statistics to develop diagnostic and other rules and stronger reliance on "hard data" to support therapeutic and diagnostic modalities.

Clinical Biochemistry
Clinical Biochemistry

Author: William J. Marshall

Publisher: Elsevier Health Sciences

Published: 2008-01-01

Total Pages: 997

ISBN-13: 0443101868

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Now fully revised and updated, Clinical Biochemistry, third edition is essential reading for specialty trainees, particularly those preparing for postgraduate examinations. It is also an invaluable current reference for all established practitioners, including both medical and scientist clinical biochemists. Building on the success of previous editions, this leading textbook primarily focuses on clinical aspects of the subject, giving detailed coverage of all conditions where clinical biochemistry is used in diagnosis and management - including nutritional disorders, diabetes, inherited metabolic disease, metabolic bone disease, renal calculi and dyslipidaemias. The acquisition and interpretation of clinical biochemical data are also discussed in detail. Expanded sections on haematology and immunology for clinical biochemists provide a thorough understanding of both laboratory and clinical aspects New chapters are included on important evolving areas such as the metabolic response to stress, forensic aspects of clinical biochemistry and data quality management An extended editorial team - including three expert new additions - ensures accuracy of information and relevance to current curricula and clinical practice A superb new accompanying electronic version provides an enhanced learning experience and rapid reference anytime, anywhere! Elsevier ExpertConsult.com Enhanced eBooks for medical professionals Compatible with PC, Mac®, most mobile devices and eReaders, browse, search, and interact with this title - online and offline. Redeem your PIN at expertconsult.com today! Straightforward navigation and search across all Elsevier titles Seamless, real-time integration between devices Adjustable text size and brightness Notes and highlights sharing with other users through social media Interactive content

Clinical Laboratory Management
Clinical Laboratory Management

Author: Timothy C. Allen

Publisher: John Wiley & Sons

Published: 2024-03-25

Total Pages: 821

ISBN-13: 168367393X

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Clinical Laboratory Management Apply the principles of management in a clinical setting with this vital guide Clinical Laboratory Management, Third Edition, edited by an esteemed team of professionals under the guidance of editor-in-chief Lynne S. Garcia, is a comprehensive and essential reference for managing the complexities of the modern clinical laboratory. This newly updated and reorganized edition addresses the fast-changing landscape of laboratory management, presenting both foundational insights and innovative strategies. Topics covered include: an introduction to the basics of clinical laboratory management, the regulatory landscape, and evolving practices in the modern healthcare environment the essence of managerial leadership, with insights into employee needs and motivation, effective communication, and personnel management, including the lack of qualified position applicants, burnout, and more financial management, budgeting, and strategic planning, including outreach up-to-date resources for laboratory coding, reimbursement, and compliance, reflecting current requirements, standards, and challenges benchmarking methods to define and measure success the importance of test utilization and clinical relevance future trends in pathology and laboratory science, including developments in test systems, human resources and workforce development, and future directions in laboratory instrumentation and information technology an entirely new section devoted to pandemic planning, collaboration, and response, lessons learned from COVID-19, and a look towards the future of laboratory preparedness This indispensable edition of Clinical Laboratory Management not only meets the needs of today’s clinical laboratories but anticipates the future, making it a must-have resource for laboratory professionals, managers, and students. Get your copy today, and equip yourself with the tools, strategies, and insights to excel in the complex and ever-changing world of the clinical laboratory.