Statistical Methods in Laboratory Medicine

Butterworth-Heinemann
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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.
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Additional Information

Publisher
Butterworth-Heinemann
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Published on
May 16, 2014
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Pages
552
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ISBN
9781483161921
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Best For
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Language
English
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Genres
Health & Fitness / Holism
Health & Fitness / Reference
Medical / Alternative & Complementary Medicine
Medical / Atlases
Medical / Essays
Medical / Family & General Practice
Medical / Holistic Medicine
Medical / Osteopathy
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Content Protection
This content is DRM protected.
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Eligible for Family Library

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