Biostatistics for the Health Sciences / Edition 1

Biostatistics for the Health Sciences / Edition 1

by R. Clifford Blair, Richard Taylor
     
 

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

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Overview

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.

Product Details

ISBN-13:
9780131176607
Publisher:
Pearson
Publication date:
01/18/2007
Edition description:
New Edition
Pages:
552
Sales rank:
751,020
Product dimensions:
7.90(w) x 9.10(h) x 1.50(d)

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

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