Titlebook: Introduction to Statistical Methods in Pathology; Amir Momeni,Matthew Pincus,Jenny Libien Book 2018 Springer International Publishing AG 2

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Book 2018ly, 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..

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Linear Correlations,analytes on more than one analyzer. In fact, regular performance of correlation studies is a requirement of many regulatory bodies..There are several approaches to performing correlation studies; the most common approaches used in pathology are two-tailed T-test or ordinary least square best fit lin

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Cross Tabulation and Categorical Data Analysis,commonly face the question of association of a test result with a disease status. In statistics, the process of testing the association between events is called hypothesis testing. If the variables are categorical (i.e., they can only assume finite discrete values), a common approach to hypothesis t

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Multivariate Analysis,ults) to an outcome like disease status. Furthermore, we often want to combine multiple tests or clinical findings to create diagnostic/prognostic models. These goals can be achieved using multivariate analysis. The most common way to fit one (or more) variables to another variable and determine ass

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Imputation and Missing Data,ysis performed on datasets with missing data can lead to erroneous conclusions and significant bias in the results..Missing data is a common occurrence in pathology and laboratory medicine as most analyzers have multiple points of failure which can lead to errors or measurement failures. Thus dealin