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Biostatistics : how it works / Steve Selvin.

By: Selvin, Steve [author]Material type: Text

TextPublication details: Upper Saddle River, NJ : Pearson Education, c2004Description: xii, 394 pages : illustrations ; 24 cmISBN: 0130466166Subject(s): MEDICAL STATISTICS | BIOMETRY | STATISTICS | MEDICAL -- RESEARCH -- STATISTICAL METHODSLOC classification: RA 409 .S45 2004

Contents:

I. Probability: Properties of samples -- 1. Descriptive statistics -- 2. Probability -- 3. Random variables -- 4. Probability distributions -- II. Statistics: Properties of sampled populations -- 5. Statistical inference I -- 6. Statistical inference II -- 7. Chi-square analysis -- 8. Linear regression -- 9. Correlation.

Summary: This concise, algebra-based text is a straight forward, clear approach to biostatistics, containing rigorous explanations of elementary methods without the “bells and whistles” associated with other books that cover this topic. Its goal is to provide a sophisticated introduction of how statistics works at a beginning level. Every concept is carefully and clearly explained, enriched by a mathematical/statistical justification, and then illustrated by at least one concrete, worked data example. Beginning with basic concepts, the text allows readers to acquire the ability to understand rather complicated statistical issues, such as linear regression theory and application.

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Item type	Current library	Home library	Collection	Shelving location	Call number	Copy number	Status	Date due	Barcode
Books	LRC - Main	National University - Manila	Gen. Ed - CAH	General Circulation	GC RA 409 .S45 2004 (Browse shelf (Opens below))	c.1	Available		NULIB000003856

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Includes bibliographical references (pages 381-383) and index.

This concise, algebra-based text is a straight forward, clear approach to biostatistics, containing rigorous explanations of elementary methods without the “bells and whistles” associated with other books that cover this topic. Its goal is to provide a sophisticated introduction of how statistics works at a beginning level. Every concept is carefully and clearly explained, enriched by a mathematical/statistical justification, and then illustrated by at least one concrete, worked data example. Beginning with basic concepts, the text allows readers to acquire the ability to understand rather complicated statistical issues, such as linear regression theory and application.

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