Thursday, November 1, 2012

Probability without Equations

Probability without Equations



Author: Bart K. Holland
Edition: 1
Publisher: The Johns Hopkins University Press
Binding: Paperback
ISBN: 0801857600



Probability without Equations: Concepts for Clinicians


Although few physicians, nurses, dentists, and other health professionals perform laboratory tests themselves, they all need to be able to interpret the results as well as understand findings reported in the medical literature. Medical books Probability without Equations. A general understanding of probability and statistics is essential for those needing to make daily decisions about the significance of research data, drug interaction precautions, or a patient's positive laboratory test for a rare disease.

Written with these needs in mind, Probability without Equations offers a thorough explanation of the subject without overwhelming the reader with equations and footnotes. Award-winning teacher Bart Holland presents a nontechnical treatment of intuitive concepts and presents numerous examples from medical research and practice. In plain language, this book explains the topics that clinicians need to understand:

• Analysis of variance

• "P-values" and the "t-test"

• Hazard models

• Regression and correlations

• Alpha and beta errors

"The Nobel prize-winning physicist Ernest Rutherford was fond of saying that if you need statistics to analyze the results of an experiment, you don't have a very good experiment Medical books Probability without Equations: Concepts for Clinicians. Categories: Probability, Distribution (Probability theory), Epidemiologic methods. Contributors: Bart K. Holland - Author. Format: Paperback

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Categories: Probability, Distribution (Probability theory), Epidemiologic methods. Contributors: Bart K. Holland - Author. Format: Paperback

Categories: Distribution (Probability theory), Clinical trials, Epidemiologic methods. Contributors: Bart K. Holland - Author. Format: NOOK Book

Although few physicians, nurses, dentists, and other health professionals perform laboratory tests themselves, they all need to be able to interpret the results as well as understand findings reported in the medical literature. A general understanding of probability and statistics is essential for those needing to make daily decisions about the significance of research data, drug interaction precautions, or a patient's positive laboratory test for a rare disease.Written with these needs in mind, "Probability without Equations" offers a thorough explanation of the subject without overwhelming t

"Although few physicians, nurses, dentists and other health professionals perform laboratory test themselves, they need to be able to interpret their results and understand findings. This text offers an explanation of the necessary details in probability and statistics in a non-technical treatment.Although few physicians, nurses, dentists and other health professionals perform laboratory tests themselves, they need to be able to interpret the results and understand findings reported in medical literature. A general understanding of probability and statistics is essential for those needing to m



Medical Book Probability without Equations



A general understanding of probability and statistics is essential for those needing to make daily decisions about the significance of research data, drug interaction precautions, or a patient's positive laboratory test for a rare disease.

Written with these needs in mind, Probability without Equations offers a thorough explanation of the subject without overwhelming the reader with equations and footnotes. Award-winning teacher Bart Holland presents a nontechnical treatment of intuitive concepts and presents numerous examples from medical research and practice. In plain language, this book explains the topics that clinicians need to understand:

• Analysis of variance

• "P-values" and the "t-test"

• Hazard models

• Regression and correlations

• Alpha and beta errors

"The Nobel prize-winning physicist Ernest Rutherford was fond of saying that if you need statistics to analyze the results of an experiment, you don't have a very good experiment. In a way he was right. However, a recurrent problem in medicine is that in a certain sense you commonly don't have a good experiment—but not because medical research scientists are generally incompetent! The nature of the data they work with is simply not as predictable as the data in some other fields, so the predictive nature of findings in medical science is generally rather imperfect."—from the introduction



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