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Introduction to Statistical Methods ...
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Momeni, Amir.
Introduction to Statistical Methods in Pathology
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Introduction to Statistical Methods in Pathology / by Amir Momeni, Matthew Pincus, Jenny Libien.
Author:
Momeni, Amir.
other author:
Pincus, Matthew.
Description:
XIV, 317 p. 84 illus. in color.online resource. :
Contained By:
Springer Nature eBook
Subject:
Pathology. -
Online resource:
https://doi.org/10.1007/978-3-319-60543-2
ISBN:
9783319605432
Introduction to Statistical Methods in Pathology
Momeni, Amir.
Introduction to Statistical Methods in Pathology
[electronic resource] /by Amir Momeni, Matthew Pincus, Jenny Libien. - 1st ed. 2018. - XIV, 317 p. 84 illus. in color.online resource.
Diagnostic Laboratory Test -- Probability and probability distribution -- Applicability of diagnostic tests -- Cross tabulation -- Univariate analysis -- Multivariate analysis -- Imputation and missing data -- Forecasting and prognostic studies -- Gold standard and control in pathology and laboratory medicine -- Designing a pathology and laboratory study -- Evidence review and critical analysis of literature -- Statistical concepts in genomics and molecular pathology -- Introduction to pathology informatics.
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.
ISBN: 9783319605432
Standard No.: 10.1007/978-3-319-60543-2doiSubjects--Topical Terms:
668553
Pathology.
LC Class. No.: RB1-214
Dewey Class. No.: 616.07
Introduction to Statistical Methods in Pathology
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Diagnostic Laboratory Test -- Probability and probability distribution -- Applicability of diagnostic tests -- Cross tabulation -- Univariate analysis -- Multivariate analysis -- Imputation and missing data -- Forecasting and prognostic studies -- Gold standard and control in pathology and laboratory medicine -- Designing a pathology and laboratory study -- Evidence review and critical analysis of literature -- Statistical concepts in genomics and molecular pathology -- Introduction to pathology informatics.
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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.
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