Introduction to Statistical Analysis of Laboratory Data
Introduction to Statistical Analysis of Laboratory Data

Author: Alfred Bartolucci

Publisher: John Wiley & Sons

Published: 2015-11-02

Total Pages: 256

ISBN-13: 1118736834

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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

Geochemical Survey of Missouri
Geochemical Survey of Missouri

Author: Alfred T. Miesch

Publisher:

Published: 1976

Total Pages: 0

ISBN-13:

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Methods used in the collection, analysis, and interpretation of data in a regional geochemical survey.

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.