Statistics for Pathologists

Nonfiction, Health & Well Being, Medical, Specialties, Pathology
Cover of the book Statistics for Pathologists by Danny A. Milner, Jr., MD, Emily E. K. Meserve, MD, MPH, T. Rinda Soong, MD, PhD, MPH, Douglas A. Mata, MD, MPH, Springer Publishing Company
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Author: Danny A. Milner, Jr., MD, Emily E. K. Meserve, MD, MPH, T. Rinda Soong, MD, PhD, MPH, Douglas A. Mata, MD, MPH ISBN: 9781617052682
Publisher: Springer Publishing Company Publication: December 28, 2016
Imprint: Demos Medical Language: English
Author: Danny A. Milner, Jr., MD, Emily E. K. Meserve, MD, MPH, T. Rinda Soong, MD, PhD, MPH, Douglas A. Mata, MD, MPH
ISBN: 9781617052682
Publisher: Springer Publishing Company
Publication: December 28, 2016
Imprint: Demos Medical
Language: English

This essential guide provides a clear, accessible review of the use of statistics in pathology studies. Spanning topics such as exploratory data analysis and descriptive statistics as well as the use of comparative statistics, concordance analysis, categorical and continuous data regression analyses, count data, survival analyses, decision point and clustering analysis, and more, this practical book comprehensively demystifies all the statistical knowledge paramount to working in the field. Throughout the guide, the author team highlights common errors and pitfalls that occur when performing tests and when interpreting data and make suggestions for how to avoid mistakes.

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This essential guide provides a clear, accessible review of the use of statistics in pathology studies. Spanning topics such as exploratory data analysis and descriptive statistics as well as the use of comparative statistics, concordance analysis, categorical and continuous data regression analyses, count data, survival analyses, decision point and clustering analysis, and more, this practical book comprehensively demystifies all the statistical knowledge paramount to working in the field. Throughout the guide, the author team highlights common errors and pitfalls that occur when performing tests and when interpreting data and make suggestions for how to avoid mistakes.

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