Introduction to Biostatistical Applications in Health Research with Microsoft Office Excel and R

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Hirsch, Robert P.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Newark : John Wiley & Sons, Incorporated, 2021.
Edición:2nd ed.
Temas:
Microsoft Excel (Computer file)
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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
  • 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

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