Biostatistics For The Health Sciences by R. Clifford BlairBiostatistics For The Health Sciences by R. Clifford Blair

Biostatistics For The Health Sciences

byR. Clifford Blair, Richard Taylor

Paperback | January 4, 2007

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This book provides a solid foundation in introductory biostatistics with up-to-date methods, lucid explanations, and a modern approach. 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. For health science students and professionals who need to increase their understanding of biostatistics.

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 Researc...
Title:Biostatistics For The Health SciencesFormat:PaperbackDimensions:552 pages, 9 × 7.9 × 1.2 inPublished:January 4, 2007Publisher:Pearson EducationLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0131176609

ISBN - 13:9780131176607

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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



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



3.    Probability

         3.1 Introduction

         3.2 A Definition of Probability

         3.3 Contingency Tables

         3.4 The Normal Curve

         Key Words and Phrases



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



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



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



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



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



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



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