Robert P. Hirsch 
Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel 

A practical and methodological approach to the statistical logic of biostatistics in the field of health research

Focusing on a basic understanding of the methods and analyses in health research, Introduction to Biostatistical Applications in Health Research with Microsoft® Office Excel® provides statistical concepts for interpreting results using Excel. The book emphasizes the application of methods and presents the most common methodological procedures in health research, which includes multiple regression, ANOVA, ANCOVA, logistic regression, Cox regression, stratified analysis, life table analysis, and nonparametric parallels.

The book is constructed around a flowchart that outlines the appropriate circumstances for selecting a method to analyze a specific set of data. Beginning with an introduction to the foundational methods of statistical logic before moving on to more complex methods, Introduction to Biostatistical Applications in Health Research with Microsoft® Office Excel® also includes:

* Detailed discussions of how knowledge and skills in health research have been integrated with biostatistical methods

* Numerous examples with clear explanations that use mostly real-world health research data in order to provide a better understanding of the practical applications

* Implements Excel graphic representations throughout to help readers evaluate and analyze individual results

* An appendix with basic information on how to use Excel

* A companion website with additional Excel files, data sets, and homework problems as well as an Instructor’s Solutions Manual

Introduction to Biostatistical Applications in Health Research with Microsoft® Office Excel® is an excellent textbook for upper-undergraduate and graduate-level courses in biostatistics and public health. In addition, the book is an appropriate reference for both health researchers and professionals.

Daftar Isi

1. Thinking About Chance

1.1. Properties of Chance

1.2. Venn Equations

1.3. Intersections

1.4. Unions

1.5. Conditional Probabilities

2. Describing Populations

2.1. Distributions of Data

2.2. Gaussian Distribution

2.3. Parameter of Location

2.4. Parameter of Dispersion

2.5. Standard Normal Distribution

3. Examining Samples

3.1. Point Estimates

3.2. Sampling Distribution

3.3. Central Limit Theorem

3.4. Interval Estimates

3.5. Hypothesis Testing

4. Univariable Analysis of a Continuous Dependent Variable

4.1. Student’s t Distribution

4.2. Paired t-Test

5. Univariable Analysis of an Ordinal Dependent Variable

5.1. Medians

5.2. Wilcoxon Signed-Rank Test

6. Univariable Analysis of a Nominal Dependent Variable

6.1. Prevalence and Risk

6.2. Incidence

6.3. Normal Approximations

6.4. Exact Methods

7. Bivariable Analysis of a Continuous Dependent Variable

7.1. Linear Regression

7.2. Pearson’s Correlation

7.3. Student’s t-Test

7.4. Homoscedasticity

8. Bivariable Analysis of an Ordinal Dependent Variable

8.1. Spearman’s Correlation

8.2. Mann-Whitney Test

9. Bivariable Analysis of a Nominal Dependent Variable

9.1. Test for Trend

9.2. 2 2 Tables

9.3. Ratios and Differences

9.4. Normal Approximations

9.5. Exact Methods

10. Multivariable Analysis of a Continuous Dependent Variable

10.1. Multiple Regression Analysis

10.2. Multiple Correlation Analysis

10.3. Multicollinearity

10.4. One-Way ANOVA

10.5. Factorial ANOVA

10.6. Student-Newman-Keuls Test

10.7. Analysis of Covariance

10.8. General Linear Model

11. Multivariable Analysis of an Ordinal Dependent Variable

11.1. Kruskal-Wallis Test

11.2. Dunn’s Test

12. Multivariable Analysis of a Nominal Dependent Variable

12.1. Logistic Regression

12.2. Cox Regression

12.3. Stratified Analysis

12.4. Life Table Analysis

Appendix A: Flowchart

Appendix B: Statistical Tables

Appendix C: Standard Distributions

Appendix D: Excel Primer

Tentang Penulis

Robert P. Hirsch, Ph D, is on the faculty for the Foundation for the Advanced Education in the Sciences within the Graduate School at the National Institutes of Health. He is also a retired Professor of Epidemiology and Biostatistics and Adjunct Professor of Statistics at The George Washington University. Dr. Hirsch is the author of numerous books in the field of health research and practice.