Introduction to biostatistical applications in health research with Microsoft Office Excel and R
Focusing on a basic understanding of the methods and analyses in health research, Introduction to Biostatistical Applications in Health Research with Microsoft® Office Excel®, 2e provides statistical concepts for interpreting results using Excel. The book emphasizes the application of methods and pr...
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| Main Author | |
|---|---|
| Format | eBook |
| Language | English |
| Published |
Newark
Wiley
01.01.2021
John Wiley & Sons, Incorporated Wiley-Blackwell |
| Edition | 2nd ed |
| Subjects | |
| Online Access | Get full text |
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| Abstract | Focusing on a basic understanding of the methods and analyses in health research, Introduction to Biostatistical Applications in Health Research with Microsoft® Office Excel®, 2e 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.Some updates for this new edition:The flowcharts from the first edition will be expanded to include indicators of the assumptions of each procedure. This will be added to facilitate selection of a statistical approach to analyze a particular set of data. The existing twelve chapters describing statistical principals and statistical methods will be maintained. They have been proven to provide students with a clear and useful approach to the subject in use as a textbook and workbook in a graduate statistics course. An additional chapter will be added to the book that discusses the assumptions of statistical procedures. This chapter will describe each assumption, tell how to determine if the assumption is appropriate for a particular set of data, and provide solutions to situations in which the assumptions are not me by the data set. This chapter will provide students and researchers with the information they need to select an appropriate method of analysis and to apply that method to a set of data. The workbook will include a corresponding chapter that will provide students with practice identifying assumptions, testing for their satisfaction, and applying solutions to violation of assumptions.R will also be included to broaden the appeal and audience for the book. |
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| AbstractList | Focusing on a basic understanding of the methods and analyses in health research, Introduction to Biostatistical Applications in Health Research with Microsoft® Office Excel®, 2e 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.Some updates for this new edition:The flowcharts from the first edition will be expanded to include indicators of the assumptions of each procedure. This will be added to facilitate selection of a statistical approach to analyze a particular set of data. The existing twelve chapters describing statistical principals and statistical methods will be maintained. They have been proven to provide students with a clear and useful approach to the subject in use as a textbook and workbook in a graduate statistics course. An additional chapter will be added to the book that discusses the assumptions of statistical procedures. This chapter will describe each assumption, tell how to determine if the assumption is appropriate for a particular set of data, and provide solutions to situations in which the assumptions are not me by the data set. This chapter will provide students and researchers with the information they need to select an appropriate method of analysis and to apply that method to a set of data. The workbook will include a corresponding chapter that will provide students with practice identifying assumptions, testing for their satisfaction, and applying solutions to violation of assumptions.R will also be included to broaden the appeal and audience for the book. |
| Author | Robert P. Hirsch |
| Author_xml | – sequence: 1 fullname: Hirsch, Robert P |
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| DocumentTitleAlternate | Introduction to biostatistical applications in health research with Microsoft Office Excel and R |
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| Snippet | Focusing on a basic understanding of the methods and analyses in health research, Introduction to Biostatistical Applications in Health Research with... |
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| SubjectTerms | Biometry Electronic spreadsheets Medical statistics Microsoft Excel (Computer file) |
| TableOfContents | 7.1.1 Regression Analysis -- 7.1.2 Correlation Analysis -- 7.2 Ordinal Independent Variable -- 7.3 Nominal Independent Variable -- 7.3.1 Estimating the Difference between the Groups -- 7.3.2 Taking Chance into Account -- Chapter Summary -- Exercises -- Chapter 8 Bivariable Analysis of an Ordinal Dependent Variable -- 8.1 Ordinal Independent Variable -- 8.2 Nominal Independent Variable -- Chapter Summary -- Exercises -- Chapter 9 Bivariable Analysis of a Nominal Dependent Variable -- 9.1 Continuous Independent Variable -- 9.1.1 Estimation -- 9.1.2 Hypothesis Testing -- 9.2 Nominal Independent Variable -- 9.2.1 Dependent Variable Not Affected by Time: Unpaired Design -- 9.2.2 Hypothesis Testing -- 9.2.3 Dependent Variable Not Affected by Time: Paired Design -- 9.2.4 Dependent Variable Affected by Time -- Chapter Summary -- Exercises -- Chapter 10 Multivariable Analysis of a Continuous Dependent Variable -- 10.1 Continuous Independent Variables -- 10.1.1 Multiple Regression Analysis -- 10.1.2 Multiple Correlation Analysis -- 10.2 Nominal Independent Variables -- 10.2.1 Analysis of Variance -- 10.2.2 Posterior Testing -- 10.3 Both Continuous and Nominal Independent Variables -- 10.3.1 Indicator (Dummy) Variables -- 10.3.2 Interaction Variables -- 10.3.3 General Linear Model -- Chapter Summary -- Exercises -- Chapter 11 Multivariable Analysis of an Ordinal Dependent Variable -- 11.1 Nonparametric Anova -- 11.2 Posterior Testing -- Chapter Summary -- Exercises -- Chapter 12 Multivariable Analysis of a Nominal Dependent Variable -- 12.1 Continuous and/or Nominal Independent Variables -- 12.1.1 Maximum Likelihood Estimation -- 12.1.2 Logistic Regression Analysis -- 12.1.3 Cox Regression Analysis -- 12.2 Nominal Independent Variables -- 12.2.1 Stratified Analysis -- 12.2.2 Relationship Between Stratified Analysis and Logistic Regression Cover -- Title Page -- Copyright -- Contents -- Preface to First Edition -- Preface to Second Edition -- About the Companion Website -- Chapter 1 Thinking About Chance -- 1.1 Properties of Probability -- 1.2 Combinations of Event -- 1.2.1 Intersections -- 1.2.2 Unions -- 1.3 Bayes' Theorem -- Chapter Summary -- Exercises -- Chapter 2 Describing Distributions -- 2.1 Types of Data -- 2.2 Describing Distributions Graphically -- 2.2.1 Graphing Discrete Data -- 2.2.2 Graphing Continuous Data -- 2.3 Describing Distributions Mathematically -- 2.3.1 Parameter of Location -- 2.3.2 Parameter of Dispersion -- 2.4 Taking Chance into Account -- 2.4.1 Standard Normal Distribution -- Chapter Summary -- Exercises -- Chapter 3 Examining Samples -- 3.1 Nature of Samples -- 3.2 Estimation -- 3.2.1 Point Estimates -- 3.2.2 The Sampling Distribution -- 3.2.3 Interval Estimates -- 3.3 Hypothesis Testing -- 3.3.1 Relationship Between Interval Estimation and Hypothesis Testing -- Chapter Summary -- Exercises -- Chapter 4 Univariable Analysis of a Continuous Dependent Variable -- 4.1 Student's t‐Distribution -- 4.2 Interval Estimation -- 4.3 Hypothesis Testing -- Chapter Summary -- Exercises -- Chapter 5 Univariable Analysis of an Ordinal Dependent Variable -- 5.1 Nonparametric Methods -- 5.2 Estimation -- 5.3 Wilcoxon Signed‐Rank Test -- 5.4 Statistical Power of Nonparametric Tests -- Chapter Summary -- Exercises -- Chapter 6 Univariable Analysis of a Nominal Dependent Variable -- 6.1 Distribution of Nominal Data -- 6.2 Point Estimates -- 6.2.1 Probabilities -- 6.2.2 Rates -- 6.3 Sampling Distributions -- 6.3.1 Binomial Distribution -- 6.3.2 Poisson Distribution -- 6.4 Interval Estimation -- 6.5 Hypothesis Testing -- Chapter Summary -- Exercises -- Chapter 7 Bivariable Analysis of a Continuous Dependent Variable -- 7.1 Continuous Independent Variable 12.2.3 Life Table Analysis -- Chapter Summary -- Exercises -- Chapter 13 Testing Assumptions -- 13.1 Continuous Dependent Variables -- 13.1.1 Assuming A Gaussian Distribution -- 13.1.2 Transforming Dependent Variables -- 13.1.3 Assuming Equal Variances -- 13.1.4 Assuming Additive Relationships -- 13.1.5 Dealing With Outliers -- 13.2 Nominal Dependent Variables -- 13.2.1 Assuming a Gaussian Distribution -- 13.2.2 Assuming Equal Variances -- 13.2.3 Assuming Additive Relationships -- 13.3 Independent Variables -- Chapter Summary -- Exercises -- Appendix A Flowcharts -- Appendix B Statistical Tables -- Appendix C Standard Distributions -- C.1 Gaussian Family -- C.2 Binomial Family -- Appendix D Excel Primer -- D.1 Topography -- D.2 Data, Names, and Formulas -- D.3 Built‐in Functions -- D.3.1 Menu Bar -- Appendix E R Primer -- Appendix F Answers to Odd Exercises -- Index -- EULA |
| Title | Introduction to biostatistical applications in health research with Microsoft Office Excel and R |
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