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Description: |
xviii, 221 pages : illustrations ; 24 cm. |
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Bibliography Note: |
Includes bibliographical references (pages 195-205) and indexes. |
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Contents Note: |
Contents: Distinguish Randomized and Observational Studies -- Beware of Linear Models -- Understand Omnibus Quantities -- Independence, Equal Variance, and Normality -- Models As Simple As Possible, But Not More Simple -- Do Not Multiply Probabilities More Than Necessary -- Know the Sample Space for Statements of Risk -- Use Two-sided p-Values -- p-Values for Sample Size, Confidence Intervals for Results -- Use at Least Twelve Observations in Constructing a Confidence Interval -- Know the Unit of the Variable -- Know Properties Preserved When Transforming Units -- Be Flexible About Scale of Measurement Determining Analysis -- Be Eclectic and Ecumenical in Inference -- Consider Bootstrapping for Complex Relationships -- Standard Error from Sample Range/Sample Size -- Sample Size -- Begin with a Basic Formula for Sample Size -- No Finite Population Correction for Survey Sample Size -- Calculating Sample Size Using the Coefficient of Variation -- Do Not Formulate a Study Solely in Terms of Effect Size -- Overlapping Confidence Intervals Do Not Imply Nonsignificance -- Sample Size Calculation for the Poisson Distribution -- Sample Size for Poisson With Background Rate -- Sample Size Calculation for the Binomial Distribution -- When Unequal Sample Sizes Matter; When They Don't -- Sample Size With Different Costs for the Two Samples -- The Rule of Threes for 95% Upper Bounds When There Are No Events -- Sample Size Calculations Are Determined by the Analysis -- Covariation -- Assessing and Describing Covariation. |
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Summary, Etc. Note: |
Summary: Assuming a background course in statistics, this quick-access guide is intended for the wide audience of students and researchers who deal with statistics in their own or in others' work. The author has organized the material in sections on the basics; sample size; covariation; epidemiology; environmental studies; design, conduct, and analysis; words, tables, and graphs; and consulting. Within each section, rules are stated as truths or imperatives (e.g. "exposure assessment is the weak link in assessing health effects of pollutants," "think beyond simple random sampling," "distinguish between variability and uncertainty"); and each rule is analyzed and explained. |
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Additional Physical Forms: |
Online version: Van Belle, Gerald. Statistical rules of thumb. New York : Wiley-Interscience, ©2002 (OCoLC)664426276 |
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Elect. Loc./Access: |
Table of contents http://catdir.loc.gov/catdir/toc/wiley021/2001046733.html |
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Contributor biographical information http://catdir.loc.gov/catdir/bios/wiley043/2001046733.html |