Biostatistics for the Health Sciences

Clifford (Cliff) Blair is Professor Emeritus and former interim chair of the Department of Epidemiology and Biostatistics in the College of Public Health at the University of South Florida. He has also held faculty positions in the Colleges of Medicine and Education at the same university. He was coordinator of Measurement and Research at The Johns Hopkins University. He is author or co-author of 70 articles appearing in refereed journals of which 44 appeared in statistics or statistics related journals, 21 in medical research journals (including The New England Journal of Medicine), and five in other research oriented journals. He has authored two book chapters. He received the Public Health Student Association Distinguished Teacher Award in the academic year 1995-1996 and again in 1998-1999. He also received the University of South Florida Teaching Incentive Program Outstanding Teacher Award in 1996-1997. His research earned him the Distinguished Researcher Award, presented by the Florida Educational Research Association in 1986.   Dr. Richard A. Taylor, Centers for Disease Control and Prevention, Coordinating Office for Terrorism Preparedness and Emergency Response

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