Principles of Biostatistics

ISBN-10: 0534229026
ISBN-13: 9780534229023
Edition: 2nd 2000 (Revised)
List price: $199.95 Buy it from $17.74
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Description: Marcello Pagano and Kimberlee Gauvreau's PRINCIPLES OF BIOSTATISTICS, Second Edition is a concepts-based introduction to statistical procedures that prepares public health, medical, and life sciences students to conduct and evaluate research. With  More...

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Book details

List price: $199.95
Edition: 2nd
Copyright year: 2000
Publisher: Brooks/Cole
Publication date: 3/9/2000
Binding: Hardcover
Pages: 592
Size: 7.50" wide x 9.75" long x 1.25" tall
Weight: 2.332
Language: English

Marcello Pagano and Kimberlee Gauvreau's PRINCIPLES OF BIOSTATISTICS, Second Edition is a concepts-based introduction to statistical procedures that prepares public health, medical, and life sciences students to conduct and evaluate research. With an engaging writing style and helpful graphics, the emphasis is on concepts over formulas or rote memorization. Throughout the book, the authors use practical, interesting examples with real data to bring the material to life.

Robert R. Pagano received a Bachelor of Electrical Engineering degree from Rensselaer Polytechnic Institute in 1956 and a Ph.D. in Biological Psychology from Yale University in 1965. He was Assistant Professor and Associate Professor in the Department of Psychology at the University of Washington, Seattle, from 1965 to 1989. He was Associate Chairman of the Department of Neuroscience at the University of Pittsburgh, from 1990 to June 2000. While there, in addition to his other duties, he served as Director of Undergraduate Studies, was the departmental adviser for undergraduate majors, taught both undergraduates and graduate statistics courses, and served as a statistical consultant for departmental faculty. Pagano was also Director of the Statistical Cores for two NIH center grants in schizophrenia and Parkinson's disease. He retired from the University of Pittsburgh in June 2000. Pagano taught introductory statistics courses at the University of Washington and at the University of Pittsburgh for over thirty years combined. While at the University of Washington, he was a finalist for the Outstanding Teaching award for his instruction of introductory statistics.

Introduction
Overview of the Text
Review Exercises
Bibliography
Data Presentation
Types of Numerical Data
Nominal Data
Ordinal Data
Ranked Data
Discrete Data
Continuous Data
Tables
Frequency Distributions
Relative Frequency
Graphs
Bar Charts
Histograms
Frequency Polygons
One-Way Scatter Plots
Box Plots
Two-Way Scatter Plots
Line Graphs
Further Applications
Review Exercises
Bibliography
Numerical Summary Measures
Measures of Central Tendency
Mean
Median
Mode
Measures of Dispersion
Range
Interquartile Range
Variance and Standard Deviation
Coefficient of Variation
Grouped Data
Grouped Mean
Grouped Variance
Chebychev's Inequality
Further Applications
Review Exercises
Bibliography
Rates and Standardization
Rates
Standardization of Rates
Direct Method of Standardization
Indirect Method of Standardization
Use of Standardized Rates
Further Applications
Direct Method of Standardization
Indirect Method of Standardization
Review Exercises
Bibliography
Life Tables
Computation of the Life Table
Column 1
Column 2
Columns 3 and 4
Column 5
Column 6
Column 7
Applications of the Life Table
Years of Potential Life Lost
Further Applications
Review Exercises
Bibliography
Probability
Operations on Events and Probability
Conditional Probability
Bayes' Theorem
Diagnostic Tests
Sensitivity and Specificity
Applications of Bayes' Theorem
ROC Curves
Calculation of Prevalence
The Relative Risk and the Odds Ratio
Further Applications
Review Exercises
Bibliography
Theoretical Probability Distributions
Probability Distributions
The Binomial Distribution
The Poisson Distribution
The Normal Distribution
Further Applications
Review Exercises
Bibliography
Sampling Distribution of the Mean
Sampling Distributions
The Central Limit Theorem
Applications of the Central Limit Theorem
Further Applications
Review Exercises
Bibliography
Confidence Intervals
Two-Sided Confidence Intervals
One-Sided Confidence Intervals
Student's t Distribution
Further Applications
Review Exercises
Bibliography
Hypothesis Testing
General Concepts
Two-Sided Tests of Hypotheses
One-Sided Tests of Hypotheses
Types of Error
Power
Sample Size Estimation
Further Applications
Review Exercises
Bibliography
Comparison of Two Means
Paired Samples
Independent Samples
Equal Variances
Unequal Variances
Further Applications
Review Exercises
Bibliography
Analysis of Variance
One-Way Analysis of Variance
The Problem
Sources of Variation
Multiple Comparisons Procedures
Further Applications
Review Exercises
Bibliography
Nonparametric Methods
The Sign Test
The Wilcoxon Signed-Rank Test
The Wilcoxon Rank Sum Test
Advantages and Disadvantages of Nonparametric Methods
Further Applications
Review Exercises
Bibliography
Inference on Proportions
Normal Approximation to the Binomial Distribution
Sampling Distribution of a Proportion
Confidence Intervals
Hypothesis Testing
Sample Size Estimation
Comparison of Two Proportions
Further Applications
Review Exercises
Bibliography
Contingency Tables
The Chi-Square Test
2 [times] 2 Tables
r [times] c Tables
McNemar's Test
The Odds Ratio
Berkson's Fallacy
Further Applications
Review Exercises
Bibliography
Multiple 2 [times] 2 Tables
Simpson's Paradox
The Mantel-Haenszel Method
Test of Homogeneity
Summary Odds Ratio
Test of Association
Further Applications
Review Exercises
Bibliography
Correlation
The Two-Way Scatter Plot
Pearson's Correlation Coefficient
Spearman's Rank Correlation Coefficient
Further Applications
Review Exercises
Bibliography
Simple Linear Regression
Regression Concepts
The Model
The Population Regression Line
The Method of Least Squares
Inference for Regression Coefficients
Inference for Predicted Values
Evaluation of the Model
The Coefficient of Determination
Residual Plots
Transformations
Further Applications
Review Exercises
Bibliography
Multiple Regression
The Model
The Least-Squares Regression Equation
Inference for Regression Coefficients
Evaluation of the Model
Indicator Variables
Interaction Terms
Model Selection
Further Applications
Review Exercises
Bibliography
Logistic Regression
The Model
The Logistic Function
The Fitted Equation
Multiple Logistic Regression
Indicator Variables
Further Applications
Review Exercises
Bibliography
Survival Analysis
The Life Table Method
The Product-Limit Method
The Log-Rank Test
Further Applications
Review Exercises
Bibliography
Sampling Theory
Sampling Schemes
Simple Random Sampling
Systematic Sampling
Stratified Sampling
Cluster Sampling
Nonprobability Sampling
Sources of Bias
Further Applications
Review Exercises
Bibliography
Tables
Data Sets
Index

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