Audience:

Non-biostatistics majors in Colleges/Departments of Public Health, Allied Health Sciences, Nursing (with Ph.D. programs), and Medical Schools. Any course of study in which introductory biostatistics is required.

Approach:

Non-mathematical/theoretical but with in depth coverage of topics commonly included in biostatistics courses as well as topics not previously covered.

This book provides a solid foundation in introductory biostatistics with up-to-date methods, lucid explanations, and a modern approach.

KEY TOPICS: Explains commonly used biostatistical methods, such as odds and risk ratios, and Fisher's exact test, in a clear and thorough manner. Introduces equivalence testing in a variety of research settings. Presents nonparametric methods in a modern light, couched in the broader context of permutation-based methods. Provides real-world data with case studies consisting of synopses of published research. Provides step-by-step solutions to exercises, along with pertinent equations used in obtaining the solution and page numbers of relevant discussions.

Table of Contents

1.    Foundations of Biostatistics

         1.1 Introduction

         1.2 Populations and Samples

         1.3 Parameters and Statistics

         1.4 Descriptive and Inferential Statistics

         1.5 Why Populations and Samples?

         1.6 What Happens Now?

         Key Words and Phrases

         Exercises

2.    Descriptive Methods

         2.1 Introduction

         2.2 Sacles of Measurement

         2.3 Summation Notation

         2.4 Distributions

         2.5 Graphs

         2.6 Numerical Methods

         2.7 A Re-Orientation

         Key Words and Phrases

         Exercises

3.    Probability
         3.1 Introduction
         3.2 A Definition of Probability
         3.3 Contingency Tables
         3.4 The Normal Curve
         Key Words and Phrases
         Exercises

4.    Introduction To Inference And One Sample Methods

         4.1 Introduction

         4.2 Sampling Distributions

         4.3 Hypothesis Testing

         4.4 Confidence Intervals

         4.5 Comparison of Hypothesis Tests and Confidence Intervals

         4.6 A Re-Orientation

         Key Words and Phrases

         Exercises

5.    Paired Samples Methods
         5.1 Introduction
         5.2 Methods Related to Mean Difference
         5.3 Methods Related to Proportions
         5.4 Methods Related to Paired Samples Risk Ratios
         5.5 Methods Related to Paired Samples Odds Ratios
         Key Words and Phrases
         Exercises

6.   Two Independent Samples Methods
        6.1 Introduction
        6.2 Methods Related to Differences Between Means
        6.3 Methods Related to Proportions
        6.4 Methods Related to Independent Samples Risk Ratios
        6.5 Methods Related to Independent Samples Odds Ratios
        Key Words and  Phrases
        Exercises

7.   Multi-Sample Methods
        7.1 Introduction
        7.2 The Oneway Analysis of Variance (ANOVA) F Test
        7.3 The 2 By k  Chi-Square Test
        7.4 Multiple Comparison Procedures
        Key Words and Phrases
        Exercises

8.   The Assessment of Relationships
        8.1 Background
        8.2 The Pearson Product-Moment Correlation Coefficient
        8.3 The Chi-Square Test For Independence
        Key Words and Phrases
        Exercises

9.   Linear Regression
        9.1 Background
        9.2 Simple Linear Regression
        9.3 Multiple Linear Regression
        9.4 Assumptions
        9.5 Some Additional Comments Regarding the Utility of MLR
        Key Words and Phrases
        Exercises

10.  Methods Based on The Permutation Principle
        10.1 Introduction
        10.2 Some Preliminaries
        10.3 Applications
        10.4 Further Comments Regarding Permutation Based Methods
        Key Words and Phrases
        Exercises