Laboratory Statistics

Laboratory Statistics

Author: Anders Kallner

Publisher: Elsevier

Published: 2013-09-06

Total Pages: 154

ISBN-13: 0124169732

DOWNLOAD EBOOK

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


Laboratory Statistics

Laboratory Statistics

Author: Anders Kallner

Publisher: Elsevier

Published: 2017-10-23

Total Pages: 174

ISBN-13: 0128143495

DOWNLOAD EBOOK

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


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

DOWNLOAD EBOOK

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.


Statistical Bases of Reference Values in Laboratory Medicine

Statistical Bases of Reference Values in Laboratory Medicine

Author: Eugene K. Harris

Publisher: CRC Press

Published: 1995-07-07

Total Pages: 388

ISBN-13: 9780824793395

DOWNLOAD EBOOK

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.


Statistics Applied to Clinical Trials

Statistics Applied to Clinical Trials

Author: Ton J. Cleophas

Publisher: Springer Science & Business Media

Published: 2013-11-11

Total Pages: 105

ISBN-13: 9401595089

DOWNLOAD EBOOK

In 1948 the first randomized controlled trial was published by the English Medical Research Council in the British Medical Journal. Until then, observations had been uncontrolled. Initially, trials frequently did not confirm the hypotheses to be tested. This phenomenon was attributed to low sensitivity due to small samples, as well as inappropriate hypotheses based on biased prior trials. Additional flaws were recognized and, subsequently, were better accounted for: carryover effects due to insufficient washout from previous treatments, time effects due to external factors and the natural history of the condition under study, bias due to asymmetry between treatment groups, lack of sensitivity due to a negative correlation between treatment responses, and so on. Such flaws, mainly of a technical nature, have been largely corrected and led to trials after 1970 being of significantly higher quality. The past decade has focused, in addition to technical aspects, on the need for circumspection in the planning and conducting of clinical trials. As a consequence, prior to approval, clinical trial protocols are now routinely scrutinized by different circumstantial organs, including ethics committees, institutional and federal review boards, national and international scientific organizations, and monitoring committees charged with conducting interim analyses. This book not only explains classical statistical analyses of clinical trials, but also addresses relatively novel issues, including equivalence testing, interim analyses, sequential analyses, and meta-analyses, and provides a framework of the best statistical methods currently available for such purposes. This book is not only useful for investigators involved in the field of clinical trials, but also for all physicians who wish to better understand the data of trials as currently published.


How to Report Statistics in Medicine

How to Report Statistics in Medicine

Author: Thomas Allen Lang

Publisher: ACP Press

Published: 2006

Total Pages: 512

ISBN-13: 1930513690

DOWNLOAD EBOOK

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.


Recent Advances in Clinical Trial Design and Analysis

Recent Advances in Clinical Trial Design and Analysis

Author: Peter F. Thall

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 263

ISBN-13: 1461520096

DOWNLOAD EBOOK

Clinical trials have two purposes -- to treat the patients in the trial, and to obtain information which increases our understanding of the disease and especially how patients respond to treatment. Statistical design provides a means to achieve both these aims, while statistical data analysis provides methods for extracting useful information from the trial data. Recent advances in statistical computing have enabled statisticians to implement very rapidly a broad array of methods which previously were either impractical or impossible. Biostatisticians are now able to provide much greater support to medical researchers working in both clinical and laboratory settings. As our collective toolkit of techniques for analyzing data has grown, it has become increasingly difficult for biostatisticians to keep up with all the developments in our own field. Recent Advances in Clinical Trial Design and Analysis brings together biostatisticians doing cutting-edge research and explains some of the more recent developments in biostatistics to clinicians and scientists who work in clinical trials.