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Fundamentals of Biostatistics - Hardcover, by Rosner Bernard, 8th Ed., 2016
Walkers Books
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物品細節
- 物品狀況
- Book Title
- Fundamentals of Biostatistics
- ISBN
- 9781305268920
關於產品
Product Identifiers
Publisher
Cengage Learning
ISBN-10
130526892X
ISBN-13
9781305268920
eBay Product ID (ePID)
5038848084
Product Key Features
Number of Pages
888 Pages
Language
English
Publication Name
Fundamentals of Biostatistics
Publication Year
2015
Subject
Biostatistics, Probability & Statistics / General, General, Life Sciences / Biology
Features
Revised
Type
Textbook
Subject Area
Mathematics, Science, Medical
Format
Hardcover
Dimensions
Item Height
10 in
Item Weight
67.3 Oz
Item Length
1.5 in
Item Width
8.3 in
Additional Product Features
Edition Number
8
Intended Audience
College Audience
LCCN
2015-941787
Dewey Edition
22
Reviews
"This revision of a "classic" textbook for introductory biostatistics is, in my opinion, the most comprehensive and thorough book on the market. Yet it is written and illustrated very clearly. Most importantly, it has many worked examples and exercises that apply the methods to actual data.", The book is very comprehensive and generally explains not only how specific tests are done but also the theoretical underpinning of these tests. I use the Rosner book quite frequently as a reference for myself. It is definitely a great resource for a practicing researcher, and probably a useful book for a graduate student wanting to learn more statistics.
Illustrated
Yes
Dewey Decimal
570.1/5195
Table Of Content
Table of Contents.Preface.1. General Overview.2. Descriptive Statistics.Introduction.Measures of Location.Some Properties of the Arithmetic Mean.Measures of Spread.Some Properties of the Variance and Standard Deviation.The Coefficient of Variation.Grouped Data.Graphic Methods.Case Study 1: Effects of Lead Exposure on Neurological and Psychological Function in Children.Case Study 2: Effects of Tobacco Use on Bone-Mineral Density in Middle-Aged Women.Obtaining Descriptive Statistics on the Computer.Summary.Problems.3. Probability.Introduction.Definition of Probability.Some Useful Probabilistic Notation.The Multiplication Law of Probability.The Addition Law of Probability.Conditional Probability.Bayes' Rule and Screening Tests.Bayesian Inference.ROC Curves.Prevalence and Incidence.Summary.Problems.4. Discrete Probability Distributions.Introduction.Random Variables.The Probability-Mass Function for a Discrete Random Variable.The Expected Value of a Discrete Random Variable.The Variance of a Discrete Random Variable.The Cumulative-Distribution Function of a Discrete Random Variable.Permutations and Combinations.The Binomial Distribution.Expected Value and Variance of the Binomial Distribution.The Poisson Distribution.Computation of Poisson Probabilities.Expected Value and Variance of the Poisson Distribution.Poisson Approximation to the Binomial Distribution.Summary.Problems.5. Continuous Probability Distributions.Introduction.General Concepts.The Normal Distribution.Properties of the Standard Normal Distribution.Conversion from an N(µ, s2) Distribution to an N(0,1) Distribution.Linear Combinations of Random Variables.Normal Approximation to the Binomial Distribution.Normal Approximation to the Poisson Distribution.Summary.Problems.6. Estimation.Introduction.The Relationship Between Population and Sample.Random-Number Tables.Randomized Clinical Trials.Estimation of the Mean of a Distribution.Case Study: Effects of Tobacco Use on Bone-Mineral Density in Middle-Aged Women.Estimation of the Variance of a Distribution.Estimation for the Binomial Distribution.Estimation for the Poisson Distribution.One-Sided Cis.The Bootstrap.Summary.Problems .7. Hypothesis Testing: One-Sample Inference.Introduction.General Concepts.One-Sample Test for the Mean of a Normal Distribution: One-Sided Alternatives.One-Sample Test for the Mean of a Normal Distribution: Two-Sided Alternatives.The Relationship Between Hypothesis Testing and Confidence Intervals.The Power of a Test.Sample-Size Determination.One-Sample ?2 Test for the Variance of a Normal Distribution.One-Sample Inference for the Binomial Distribution.One-Sample Inference for the Poisson Distribution.Case Study: Effects of Tobacco Use on Bone-Mineral Density in Middle-Aged Women.Derivation of Selected Formulas.Summary.Problems.8. Hypothesis Testing: Two-Sample Inference.Introduction.The Paired t Test.Interval Estimation for the Comparison of Means from Two Paired Samples.Two-Sample t Test for Independent Samples with Equal Variances.Interval Estimation for the Comparison of Means from Two Independent Samples (Equal Variance Case).Testing for the Equality of Two Variances.Two-Sample t Test for Independent Samples with Unequal Variances.Case Study: Effects of Lead Exposure on Neurologic and Psychological Function in Children.Estimation of Sample Size and Power for Comparing Two Means.The Treatment of Outliers.Derivation of Equation 8.13.Summary.Problems.9. Nonparametric Methods.Introduction.The Sign Test.The Wilcoxon Signed-Rank Test.The Wilcoxon Rank-Sum Test.Case Study: Effects of Lead Exposure on Neurologic and Psychological Function in Children.Permutation Tests.Summary.Problems.10. Hypothesis Testing: Categorical Data.Introduction.Two-Sample Test for Binomial Proportions.Fisher's Exact Test.Two-Sample Test for Binomial Proportions for Matched-Pair Data (McNemar's Test).Estimatio
Edition Description
Revised edition
Synopsis
FUNDAMENTALS OF BIOSTATISTICS leads you through the methods, techniques, and computations of statistics necessary for success in the medical field. Every new concept is developed systematically through completely worked out examples from current medical research problems.
LC Classification Number
QH323.5.R674 2016
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