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

Saved in:

Bibliographic Details
Main Author:	Hirsch, Robert P.
Format:	eBook
Language:	English
Published:	Newark : John Wiley & Sons, Incorporated, 2021.
Edition:	2nd ed.
Subjects:	Microsoft Excel (Computer file)
Online Access:	Click for online access

Table of Contents:

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

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

Similar Items