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Basic Biostatistics [Paperback]

B. Burt Gerstman (Author)
3.3 out of 5 stars  See all reviews (7 customer reviews)

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Book Description

July 9, 2009 0763781347 978-0763781347 Pap/Bklt
Basic Biostatistics For Public Health Practice Is A Concise Introduction To Biostatistics For Both Undergraduates And Graduates In Various Fields Of Public Health. The Book Will Include Strong Coverage Of Biostatistical Principles And Focuses On Common Types Of Data Encountered In Public Health And Biomedical Fields. This Text Will Put Equal Emphasis On Exploratory And Confirmatory Statistical Methods. Sampling, Exploratory Data Analysis, Estimation, Hypothesis Testing And Power And Precision Will Be Covered Through Detailed Illustrative Examples.

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Product Details

  • Paperback: 557 pages
  • Publisher: Jones & Bartlett Learning; Pap/Bklt edition (July 9, 2009)
  • Language: English
  • ISBN-10: 0763781347
  • ISBN-13: 978-0763781347
  • Product Dimensions: 8.9 x 6 x 1.1 inches
  • Shipping Weight: 1.8 pounds (View shipping rates and policies)
  • Average Customer Review: 3.3 out of 5 stars  See all reviews (7 customer reviews)
  • Amazon Best Sellers Rank: #386,473 in Books (See Top 100 in Books)

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Customer Reviews

7 Reviews
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Average Customer Review
3.3 out of 5 stars (7 customer reviews)
 
 
 
 
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6 of 6 people found the following review helpful:
1.0 out of 5 stars Difficult, May 3, 2009
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Traci S. (Cleveland,OH) - See all my reviews
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This has go to the most confusing book I have ever had. If you are not familiar with statistics and it is not my favorite subject, you will be lost. The format is confusing. Would not have been my first choice as the text for a biostats class.
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4.0 out of 5 stars review, January 18, 2012
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This review is from: Basic Biostatistics (Paperback)
Product as advertised in good condition. The book arrived at the estimated time provided. I was concerned that the book was not brand new, however all pages were in great condition.
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2.0 out of 5 stars Not a good text book for a beginner, January 14, 2012
By 
Catherine D. Burke (Olney, Maryland United States) - See all my reviews
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This review is from: Basic Biostatistics (Paperback)
This book was the most confusing text book I think I've ever read. As a beginner to stats it is a terrible book. Concepts are interrupted from one chapter and then picked up again in another, there a mistakes in the book - simple math errors, which were probably typos. I have relied more on the internet and the stats for dummies series to get through my course. I do not recommend this book for online courses especially - it is not a self teaching kind of book.
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Inside This Book (learn more)
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First Sentence:
Biostatistics is the discipline concerned with the treatment and analysis of numerical data derived from biological, biomedical, and health-related studies. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
expected count, adjusted residual, comparing independent means, challenge illustrative example, having medical aid, stress illustrative example, conditional percents, adult intelligence scores, air samples data, axis multiplier, stem values, estrogen trial, asthma survey, sampling independence, minimal detectable difference, total probability rule, exact binomial test, illustrative data, health care web sites, gestational length, bicycle helmet use, stored online, prior illustration, worth detecting, cerebellar toxicity
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Illustrative Example, Standard Normal, Use Table, United States, New York, American Journal of Epidemiology, Dependent Variable, Women's Health Initiative, New England Journal of Medicine, African American, Journal of the American Statistical Association, Microsoft Excel, John Wiley, Mean Square, Epidemiologic Perspectives, Error Beta, Pearson Correlation, Los Arboles, Observed Value, Current Smoker Education, Wechsler Adult Intelligence Scores, Five-City Project, William Farr, Great Britain, Compare Misclass Sample
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
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