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- catalog abstract "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.".
- catalog contributor b12560814.
- catalog created "c2002.".
- catalog date "2002".
- catalog date "c2002.".
- catalog dateCopyrighted "c2002.".
- catalog description "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.".
- catalog description "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.".
- catalog description "Includes bibliographical references (p. 195-205) and indexes.".
- catalog extent "xviii, 221 p. :".
- catalog hasFormat "Statistical rules of thumb.".
- catalog identifier "0471402273 (pbk. : alk. paper)".
- catalog isFormatOf "Statistical rules of thumb.".
- catalog isPartOf "Wiley series in probability and statistics".
- catalog issued "2002".
- catalog issued "c2002.".
- catalog language "eng".
- catalog publisher "New York : Wiley-Interscience,".
- catalog relation "Statistical rules of thumb.".
- catalog subject "519.5 21".
- catalog subject "Mathematical statistics.".
- catalog subject "QA 276 V217s 2002".
- catalog subject "QA276.12 .V36 2002".
- catalog subject "Statistics.".
- catalog tableOfContents "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.".
- catalog title "Statistical rules of thumb / Gerald van Belle.".
- catalog type "text".