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Biostatistics A Foundation for Analysis in the Health Sciences

ISBN-10: 0470105828

ISBN-13: 9780470105825

Edition: 9th 2009

Authors: Wayne W. Daniel

List price: $218.95
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Description:

Allied health professionals rely on Biostatistics for its high standards of statistical accuracy. It helps them develop a set of statistical tools that are relevant to their field. Now in its ninth edition, the book integrates new applications from several biological science fields throughout the pages. Each chapter now opens with bulleted objectives that highlight the main ideas. Summary boxes of formulae and statistical rules are presented for easy reference and review. Support is also provided for multiple programs such as SPSS, SAS, and STATA, in addition to Minitab. This includes screen captures and technology boxes with step-by-step help. Health professionals will then gain the ability to use technology to analyze data.
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Book details

List price: $218.95
Edition: 9th
Copyright year: 2009
Publisher: John Wiley & Sons, Incorporated
Publication date: 12/31/2008
Binding: Hardcover
Pages: 960
Size: 8.50" wide x 9.50" long x 1.50" tall
Weight: 3.542
Language: English

Introduction to Biostatistics
Introduction
Some Basic Concepts
Measurement and Measurement Scales
Sampling and Statistical Inference
The Scientific Method and the Design of Experiments
Computers and Biostatistical Analysis
Summary
Review Questions and Exercises
References
Descriptive Statistics
Introduction
The Ordered Array
Grouped Data: The Frequency Distribution
Descriptive Statistics: Measures of Central Tendency
Descriptive Statistics: Measures of Dispersion
Summary
Review Questions and Exercises
References
Some Basic Probability Concepts
Introduction
Two Views of Probability: Objective and Subjective
Elementary Properties of Probability
Calculating the Probability of an Event
Bayes' Theorem, Screening Tests, Sensitivity, Specificity, and Predictive Value Positive and Negative
Summary
Review Questions and Exercises
References
Probability Distributions
Introduction
Probability Distributions of Discrete Variables
The Binomial Distribution
The Poisson Distribution
Continuous Probability Distributions
The Normal Distribution
Normal Distribution Applications
Summary
Review Questions and Exercises
References
Some Important Sampling Distributions
Introduction
Sampling Distributions
Distribution of the Sample Mean
Distribution of the Difference Between Two Sample Means
Distribution of the Sample Proportion
Distribution of the Difference Between Two Sample Proportions
Summary
Review Questions and Exercises
References
Estimation
Introduction
Confidence Interval for a Population Mean
The t Distribution
Confidence Interval for the Difference Between Two Population Means
Confidence Interval for a Population Proportion
Confidence Interval for the Difference Between Two Population Proportions
Determination of Sample Size for Estimating Means
Determination of Sample Size for Estimating Proportions
Confidence Interval for the Variance of a Normally Distributed Population
Confidence Interval for the Ratio of the Variances of Two Normally Distributed Populations
Summary
Review Questions and Exercises
References
Hypothesis Testing
Introduction
Hypothesis Testing: A Single Population Mean
Hypothesis Testing: The Difference Between Two Population Means
Paired Comparisons
Hypothesis Testing: A Single Population Proportion
Hypothesis Testing: The Difference Between Two Population Proportions
Hypothesis Testing: A Single Population Variance
Hypothesis Testing: The Ratio of Two Population Variances
The Type II Error and the Power of a Test
Determining Sample Size to Control Type II Errors
Summary
Review Questions and Exercises
References
Analysis of Variance
Introduction
The Completely Randomized Design
The Randomized Complete Block Design
The Repeated Measures Design
The Factorial Experiment
Summary
Review Questions and Exercises
References
Simple Linear Regression and Correlation
Introduction
The Regression Model
The Sample Regression Equation
Evaluating the Regression Equation
Using the Regression Equation
The Correlation Model
The Correlation Coefficient
Some Precautions
Summary
Review Questions and Exercises
References
Multiple Regression and Correlation
Introduction
The Multiple Linear Regression Model
Obtaining the Multiple Regression Equation
Evaluating the Multiple Regression Equation
Using the Multiple Regression Equation
The Multiple Correlation Model
Summary
Review Questions and Exercises
References
Regression Analysis: Some Additional Techniques
Introduction
Qualitative Independent Variables
Variable Selection Procedures
Logistic Regression
Summary
Review Questions and Exercises
References
The Chi-Square Distribution and the Analysis of Frequencies
Introduction
The Mathematical Properties of the Chi-Square Distribution
Tests of Goodness-of-Fit
Tests of Independence
Tests of Homogeneity
The Fisher Exact Test
Relative Risk, Odds Ratio, and the Mantel-Haenszel Statistic
Survival Analysis
Summary
Review Questions and Exercises
References
Nonparametric and Distribution-Free Statistics
Introduction
Measurement Scales
The Sign Test
The Wilcoxon Signed-Rank Test for Location
The Median Test
The Mann-Whitney Test
The Kolmogorov-Smirnov Goodness-of-Fit Test
The Kruskal-Wallis One-Way Analysis of Variance by Ranks
The Friedman Two-Way Analysis of Variance by Ranks
The Spearman Rank Correlation Coefficient
Nonparametric Regression Analysis
Summary
Review Questions and Exercises
References
Vital Statistics
Introduction
Death Rates and Ratios
Measures of Fertility
Measures of Morbidity
Summary
Review Questions and Exercises
References
Statistical Tables
Answers to Odd-Numbered Exercises
Index