Download or read book Statistics for Laboratory Scientists and Clinicians written by Anne McDonnell Sill and published by Cambridge University Press. This book was released on 2021-07-08 with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt: Uses practical examples to teach laboratory scientists and research clinicians how to accomplish statistical tasks confidently.
Download or read book Laboratory Statistics written by Anders Kallner and published by Elsevier. This book was released on 2013-09-06 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt: Laboratory Statistics: Handbook of Formulas and Terms presents common strategies for comparing and evaluating numerical laboratory data. In particular, the text deals with the type of data and problems that laboratory scientists and students in analytical chemistry, clinical chemistry, epidemiology, and clinical research face on a daily basis. This book takes the mystery out of statistics and provides simple, hands-on instructions in the format of everyday formulas. As far as possible, spreadsheet shortcuts and functions are included, along with many simple worked examples. This book is a must-have guide to applied statistics in the lab that will result in improved experimental design and analysis. - Comprehensive coverage of simple statistical concepts familiarizes the reader with formatted statistical expression - Simple, worked examples make formulas easy to use in real life - Spreadsheet functions demonstrate how to find immediate solutions to common problems - In-depth indexing and frequent use of synonyms facilitate the quick location of appropriate procedures
Download or read book Laboratory Statistics written by Anders Kallner and published by Elsevier. This book was released on 2017-10-23 with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt: Laboratory Statistics: Methods in Chemistry and Health Science, Second Edition, presents common strategies for comparing and evaluating numerical laboratory data. In particular, the text deals with the type of data and problems that laboratory scientists and students in analytical chemistry, clinical chemistry, epidemiology, and clinical research face on a daily basis. This book takes the mystery out of statistics and provides simple, hands-on instructions in the format of everyday formulas. Spreadsheet shortcuts and functions are included, along with many simple worked examples. This book is a must-have guide to applied statistics in the lab that will result in improved experimental design and analysis. This thoroughly revised second edition includes several new sections, more examples, and all formulas in Excel code. - Provides comprehensive coverage of simple statistical concepts - Familiarizes the reader with formatted statistical expression - Presents simple, worked examples that make formulas easy to apply - Includes spreadsheet functions that demonstrate how to find immediate solutions to common problems
Download or read book Statistical Methods in Laboratory Medicine written by P. W. Strike and published by Butterworth-Heinemann. This book was released on 2014-05-16 with total page 553 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Statistical Bases of Reference Values in Laboratory Medicine written by Eugene K. Harris and published by CRC Press. This book was released on 1995-07-07 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: Examining the strengths and limitations of various standards of accuracy in clinical laboratory analyses, this detailed reference presents an in-depth study of important theoretical and empirical issues concerning the description, collection, and application of reference values in laboratory medicine.
Download or read book Introduction to Statistical Analysis of Laboratory Data written by Alfred Bartolucci and published by John Wiley & Sons. This book was released on 2015-12-02 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Statistical Analysis of Laboratory Data presents a detailed discussion of important statistical concepts and methods of data presentation and analysis Provides detailed discussions on statistical applications including a comprehensive package of statistical tools that are specific to the laboratory experiment process Introduces terminology used in many applications such as the interpretation of assay design and validation as well as “fit for purpose” procedures including real world examples Includes a rigorous review of statistical quality control procedures in laboratory methodologies and influences on capabilities Presents methodologies used in the areas such as method comparison procedures, limit and bias detection, outlier analysis and detecting sources of variation Analysis of robustness and ruggedness including multivariate influences on response are introduced to account for controllable/uncontrollable laboratory conditions
Download or read book Strategy and Statistics in Clinical Trials written by Joseph Tal and published by Academic Press. This book was released on 2011-07-14 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: Delineates the statistical building blocks and concepts of clinical trials.
Download or read book How to Write Publish and Present in the Health Sciences written by Thomas Allen Lang and published by ACP Press. This book was released on 2010 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: From the acclaimed author of the standard reference on reporting statistics in medicine, this new resource explains how to create effective scientific articles, research proposals, abstracts, posters, and slide presentations. It describes how to write efficiently and how to prepare tables, charts, graphs, illustrations, and images for publication. A wealth of key concepts, practical information, common mistakes, and helpful tips make this book invaluable.
Download or read book How to Report Statistics in Medicine written by Thomas Allen Lang and published by ACP Press. This book was released on 2006 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents a comprehensive and comprehensible set of guidelines for reporting the statistical analyses and research designs and activities commonly used in biomedical research.
Download or read book Lab Dynamics written by Carl M. Cohen and published by CSHL Press. This book was released on 2005 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Lab Dynamics is a book about the challenges to doing science and dealing with the individuals involved, including oneself. The authors, a scientist and a psychotherapist, draw on principles of group and behavioral psychology but speak to scientists in their own language about their own experiences. They offer in-depth, practical advice, real-life examples, and exercises tailored to scientific and technical workplaces on topics as diverse as conflict resolution, negotiation, dealing with supervision, working with competing peers, and making the transition from academia to industry." "This is a uniquely valuable contribution to the scientific literature, on a subject of direct importance to lab heads, postdocs, and students. It is also required reading for senior staff concerned about improving efficiency and effectiveness in academic and industrial research."--BOOK JACKET
Download or read book Clinical Laboratory Science Review written by Betty L. Theriot and published by . This book was released on 1995 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Introduction to Statistical Methods in Pathology written by Amir Momeni and published by Springer. This book was released on 2017-09-07 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Download or read book Statistical Methods in Analytical Chemistry written by Peter C. Meier and published by John Wiley & Sons. This book was released on 2005-03-04 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new edition of a successful, bestselling book continues to provide you with practical information on the use of statistical methods for solving real-world problems in complex industrial environments. Complete with examples from the chemical and pharmaceutical laboratory and manufacturing areas, this thoroughly updated book clearly demonstrates how to obtain reliable results by choosing the most appropriate experimental design and data evaluation methods. Unlike other books on the subject, Statistical Methods in Analytical Chemistry, Second Edition presents and solves problems in the context of a comprehensive decision-making process under GMP rules: Would you recommend the destruction of a $100,000 batch of product if one of four repeat determinations barely fails the specification limit? How would you prevent this from happening in the first place? Are you sure the calculator you are using is telling the truth? To help you control these situations, the new edition: * Covers univariate, bivariate, and multivariate data * Features case studies from the pharmaceutical and chemical industries demonstrating typical problems analysts encounter and the techniques used to solve them * Offers information on ancillary techniques, including a short introduction to optimization, exploratory data analysis, smoothing and computer simulation, and recapitulation of error propagation * Boasts numerous Excel files and compiled Visual Basic programs-no statistical table lookups required! * Uses Monte Carlo simulation to illustrate the variability inherent in statistically indistinguishable data sets Statistical Methods in Analytical Chemistry, Second Edition is an excellent, one-of-a-kind resource for laboratory scientists and engineers and project managers who need to assess data reliability; QC staff, regulators, and customers who want to frame realistic requirements and specifications; as well as educators looking for real-life experiments and advanced students in chemistry and pharmaceutical science. From the reviews of Statistical Methods in Analytical Chemistry, First Edition: "This book is extremely valuable. The authors supply many very useful programs along with their source code. Thus, the user can check the authenticity of the result and gain a greater understanding of the algorithm from the code. It should be on the bookshelf of every analytical chemist."-Applied Spectroscopy "The authors have compiled an interesting collection of data to illustrate the application of statistical methods . . . including calibrating, setting detection limits, analyzing ANOVA data, analyzing stability data, and determining the influence of error propagation."-Clinical Chemistry "The examples are taken from a chemical/pharmaceutical environment, but serve as convenient vehicles for the discussion of when to use which test, and how to make sense out of the results. While practical use of statistics is the major concern, it is put into perspective, and the reader is urged to use plausibility checks."-Journal of Chemical Education "The discussion of univariate statistical tests is one of the more thorough I have seen in this type of book . . . The treatment of linear regression is also thorough, and a complete set of equations for uncertainty in the results is presented . . . The bibliography is extensive and will serve as a valuable resource for those seeking more information on virtually any topic covered in the book."-Journal of American Chemical Society "This book treats the application of statistics to analytical chemistry in a very practical manner. [It] integrates PC computing power, testing programs, and analytical know-how in the context of good manufacturing practice/good laboratory practice (GMP/GLP) . . .The book is of value in many fields of analytical chemistry and should be available in all relevant libraries."-Chemometrics and Intelligent Laboratory Systems
Download or read book Medicare Laboratory Payment Policy written by Institute of Medicine and published by National Academies Press. This book was released on 2000-12-04 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: Clinical laboratory tests play an integral role in helping physicians diagnose and treat patients. New developments in laboratory technology offer the prospect of improvements in diagnosis and care, but will place an increased burden on the payment system. Medicare, the federal program providing coverage of health-care services for the elderly and disabled, is the largest payer of clinical laboratory services. Originally designed in the early 1980s, Medicare's payment policy methodology for outpatient laboratory services has not evolved to take into account technology, market, and regulatory changes, and is now outdated. This report examines the current Medicare payment methodology for outpatient clinical laboratory services in the context of environmental and technological trends, evaluates payment policy alternatives, and makes recommendations to improve the system.
Download or read book Clinical Laboratory Mathematics written by Mark Ball and published by Pearson. This book was released on 2014 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: For elementary, intermediate, and advanced clinical mathematics instruction in programs in medical/clinical laboratory science, from the associate's level through the bachelor's and master's level, through the new doctorate in clinical laboratory science ("DCLS"). Also for wide audiences of pathologists, pathology residents, medical students, nurses, pharmacists, biochemists, biomedical engineers, physician assistants, and analytical chemists. This accessible text brings together mathematical techniques that will be indispensable to every student, teacher, practitioner, and user of chemistry- or biology-related laboratory work. Responding to the concerns of both instructors and students, CLINICAL LABORATORY MATHEMATICS begins with a review of arithmetic and algebra. Next, it presents example-rich chapters on exponential notation and logarithms, rounding and figure significance, measurement systems, solutions and concentrations, dilutions, proportionality, graphs, rates of change, statistics, chemistry, quality control, and method evaluation. It answers frequently asked questions, identifies common misunderstandings, and offers an optional advanced section online. Throughout, the author explains why a solid understanding of math is critical in today's high-technology clinical laboratories. Practice problems are strategically designed to present real-world scenarios with both context and consequence. Supporting both self-guided study and traditional lecture-discussion, the text is logically organized and liberally cross-referenced, revealing hidden connections and common motifs.
Download or read book Fundamentals of Clinical Data Science written by Pieter Kubben and published by Springer. This book was released on 2018-12-21 with total page 219 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Aspects of predictive modelling using techniques such as classification, regression or clustering, and prediction model validation will be covered in the second section. The third section covers aspects of (mobile) clinical decision support systems, operational excellence and value-based healthcare. Fundamentals of Clinical Data Science is an essential resource for healthcare professionals and IT consultants intending to develop and refine their skills in personalized medicine, using solutions based on large datasets from electronic health records or telemonitoring programmes. The book’s promise is “no math, no code”and will explain the topics in a style that is optimized for a healthcare audience.
Download or read book Sharing Clinical Trial Data written by Institute of Medicine and published by National Academies Press. This book was released on 2015-04-20 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
