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 -- Some Basic Probability

Concepts -- 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 -- Probability Distributions -- Probability Distributions of Discrete

Variables -- The Binomial Distribution -- The Poisson Distribution -- Continuous Probability Distributions --

The Normal Distribution -- Normal Distribution Applications -- Some Important Sampling Distributions --

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 -- Estimation -- 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 -- Hypothesis Testing -- 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 -- analysis

Of Variance -- The Completely Randomized Design -- The Randomized Complete Block Design -- The Repeated

Measures Design -- The Factorial Experiment -- Simple Linear Regression And Correlation -- The Regression

Model -- The Sample Regression Equation -- Evaluating the Regression Equation -- Using the Regression Equation

-- The Correlation model -- The Correlation Coefficient -- Some Precautions -- multiple Regression and

Correlation -- The Multiple Linear Regression Model -- Obtaining the Multiple Regression Equation --

Evaluating the Multiple Regression Equation -- Using the Multiple Regression Equation -- The Multiple

Correlation Model -- Regression Analysis: Some Additional Techniques -- Qualitative Independent Variables --

Variable Selection Procedures -- Logistic Regression -- The Chi-Square Distribution And The Analysis Of

Frequencies -- 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 -- Nonparametric And Distribution-Free Statistics --

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 --Vital Statistics -- Death Rates and Ratios -- Measures of

Fertility -- Measures of Morbidity -- Appendix. Statistical Tables -- Answers To Odd-Numbered Exercises --

Index --

This ninth edition of Biostatistics: A Foundation for Analysis in the Health Sciences should appeal to the

same audience for which the first eight editions were written: advanced undergraduate students, beginning

graduate students, and health professionals in need of a reference book on statistical methodology. Like its

predecessors, this edition requires few mathematical prerequisites. Only reasonable proficiency in algebra is

required for an understanding of the concepts and methods underlying the calculations. The emphasis continues

to be on an intuitive understanding of principles rather than an understanding based on mathematical

sophistication. For most of the statistical techniques covered in this edition, we discuss the capabilities of

one or more software packages (MINITAB, SAS, SPSS, and NCSS) that may be used to perform the calculations

needed for their application. Resulting screen displays are also shown.