Biostatistics: The Bare Essentials / Edition 4

by Geoffrey R. Norman

Overview

New for 2014, Biostatistics: The Bare Essentials, 4th Edition, includes updated information on robust estimators of the mean, the problems of multiple hypothesis testing, bootstrapping and resampling and non-parametric stats. In addition, an entirely new chapter title Measures of Impact discusses measures of incidence and prevalence, risk, morbidity and fatality rates, and more.

Product Details

ISBN-13:	9781607951780
Publisher:	People's Medical Publishing House
Publication date:	01/01/2014
Edition description:	4
Pages:	422
Sales rank:	687,987
Product dimensions:	8.50(w) x 11.00(h) x 0.90(d)

Editorial Reviews

3 Stars from Doody

This book intends to describe the basic concepts in statistics along with some advanced topics and provides computer codes in SPSS, BMDP, and MINITAB for computations. The purpose is to provide descriptions of basic statistical concepts with minimum use of formulas or algebra to those who possess some introductory statistical knowledge. This book is most appropriate for researchers in the biomedical, sociology, and psychology areas. The advanced techniques such as PCA and FA included in the book may be useful for some researchers in sociology or psychology but are not typically considered "bare essentials." The illustrations are excellent. The digressions in red on the margins are amusing and therefore should be avoided if you are seriously interested in the statistical concepts and are stubborn about learning them from this book. (Some of their humor may be offensive to some readers, e.g., superscript 9 on page 180.) This book is interesting and humorously conveys the statistical concepts to a wide variety of audiences. Though the book addresses most of the commonly misunderstood and difficult-to-understand concepts and certainly renders a clearer description for many of those concepts (such as probability), it fails to provide even an adequate explanation to some very simple concepts such as Type I error. (One has to talk about repeated sampling to explain the "by chance alone" concept but the authors avoid this.) The front cover is more appealing than the back cover! My suggestion: read instead a book by Lincoln E. MosesThink and Explain With Statistics, 1986, Addison-Wesley Publishing Company, Massachusetts.

Viswanathan Ramakrishnan

A refreshing, often irreverent, and very effective approach to the dreaded subject of statistics, particularly as it relates to healthcare professionals. The authors' treatment is detailed but manages to keep the reader's attention by way of wit and sarcasm. As the authors state: "We attempt...to insult all (health) professions equally." Annotation c. Book News, Inc., Portland, OR (booknews.com)

Booknews

Reviewer: Viswanathan Ramakrishnan, PhD (University of Illinois at Chicago)
Description: This book intends to describe the basic concepts in statistics along with some advanced topics and provides computer codes in SPSS, BMDP, and MINITAB for computations.
Purpose: The purpose is to provide descriptions of basic statistical concepts with minimum use of formulas or algebra to those who possess some introductory statistical knowledge.
Audience: This book is most appropriate for researchers in the biomedical, sociology, and psychology areas. The advanced techniques such as PCA and FA included in the book may be useful for some researchers in sociology or psychology but are not typically considered "bare essentials."
Features: The illustrations are excellent. The digressions in red on the margins are amusing and therefore should be avoided if you are seriously interested in the statistical concepts and are stubborn about learning them from this book. (Some of their humor may be offensive to some readers, e.g., superscript 9 on page 180.)
Assessment: This book is interesting and humorously conveys the statistical concepts to a wide variety of audiences. Though the book addresses most of the commonly misunderstood and difficult-to-understand concepts and certainly renders a clearer description for many of those concepts (such as probability), it fails to provide even an adequate explanation to some very simple concepts such as Type I error. (One has to talk about repeated sampling to explain the "by chance alone" concept but the authors avoid this.) The front cover is more appealing than the back cover! My suggestion: read instead a book by Lincoln E. MosesThink and Explain With Statistics, 1986, Addison-Wesley Publishing Company, Massachusetts.

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