Introductory biostatistics.

By:

Le, Chap T

Contributor(s):

Eberly, Lynn E

Material type: Text

TextPublication details: Hoboken, N.J. : John Wiley, c2003Edition: Second editionDescription: xvii, 591 pagesISBN:

9780470905401 (cloth)

Subject(s):

DDC classification:

570.151 LEC.I

Summary: To students in public health, dentistry, nursing, and other health disciplines, the introductory course in biostatistics conjures up dread images of mind-numbing formulas and dry-as-bones texts. Designed as an antidote to the usual anxiety-producing textbooks, Professor Chap T. Lee?s Introductory Biostatistics is a lively, user-friendly introduction that will nurture interest and motivate students to see statistics as a 'way of thinking' about gathering and analyzing data? not just a bunch of formulas or data. It is, as the author puts it, 'the science of dealing with uncertainties using inc.

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Item type	Current library	Home library	Call number	Status	Date due	Barcode
Book	IUCEIB Library, University of Kerala General Stacks	IUCEIB Library, University of Kerala	570.151 LEC.I (Browse shelf(Opens below))	Available		CEB265

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Previous	570.151 BRA.D Dynamical systems for biological modeling : an introduction /	570.151 IRI.D Data analysis for the life sciences with R /	570.151 KRI.G Guide to research methodology and biostatistics	570.151 LEC.I Introductory biostatistics.	570.151 LOG.B Biostatistical Design and analysis using R. : A practical guide.	570.151 MAN.B Biostatistics: basic and advanced	570.151 MCC.I Introduction to Statistics for Biology.	Next

Includes bibliographical references and index.

To students in public health, dentistry, nursing, and other health disciplines, the introductory course in biostatistics conjures up dread images of mind-numbing formulas and dry-as-bones texts. Designed as an antidote to the usual anxiety-producing textbooks, Professor Chap T. Lee?s Introductory Biostatistics is a lively, user-friendly introduction that will nurture interest and motivate students to see statistics as a 'way of thinking' about gathering and analyzing data? not just a bunch of formulas or data. It is, as the author puts it, 'the science of dealing with uncertainties using inc.

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