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Essentials of Biostatistics in Public Health. Text with Access Code

Sullivan, Lisa M. PhD
Essentials of Biostatistics in Public Health. Text with Access Code Cover Image
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Book Information
Edition: 3rd
Publisher: Jones & Bartlett Publishing
ISBN: 1-284-10819-8 (1284108198)
ISBN-13: 978-1-284-10819-4 (9781284108194)
New Edition: 1-284-23197-6
Old Edition: 1-4496-2394-8
Binding: with Supplement Softcover + Internet Access Code
Copyright: 2018
Publish Date: 02/17
Weight: 1.99 Lbs.
Pages: 376
Carton Quantity: 16
Subject Class: PUB (Public Health)
Remarks:
A New Edition of this Title is Available
Doody Star Rating: 3
Return Policy: Returns accepted up to 10 months provided no other recalls or return restrictions apply. This product contains software or Internet access code(s). Returns are not accepted if seal is broken or if access code revealed.
Contributing Authors: View
 
Class Specifications
ISSN Series: Essential Public Health
Discipline: Public Health
Subject Definition: Biometry-Methods; Public Health Practice
NLM Class: WA 950
LC Class: RA409
Abstract: Essentials of Biostatistics in Public Health, Third Edition provides a fundamental and engaging background for students learning to apply and appropriately interpret biostatistics applications in the field of public health. Many examples are drawn directly from the author's remarkable clinical experiences with the renowned Framingham Heart Study, making this text practical, interesting, and accessible for those with little mathematical background. The examples are real, relevant, and manageable in size so that students can easily focus on applications rather than become overwhelmed by computations. The Third Edition offers a new chapter on data visualization and interpretation including guidance on reporting statistical results in tables, figures and text. Examples of well-organized, detailed and appropriately formatted tables and figures are provided along with samples of how best to interpret them. Examples of poorly organized tables and figures are also included to illustrate common misinterpretations of results, due in part to lack of clarity in presentation.

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