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Statistics for Health Care Management and Administration : Working with Excel.
- Format:
- Book
- Author/Creator:
- Kros, John F.
- Series:
- Public Health/Epidemiology and Biostatistics Ser.
- Language:
- English
- Subjects (All):
- Medical statistics.
- Physical Description:
- 1 online resource (562 pages)
- Edition:
- 3rd ed.
- Place of Publication:
- New York, NY : John Wiley & Sons, Incorporated, 2016.
- Contents:
- Cover
- Title Page
- Copyright
- Contents
- Preface
- Introducing Excel
- So How Did We Get to Here?
- Intended Level of the Textbook
- Textbook Organization
- Leading by Example(s)
- Acknowledgments
- The Authors
- Part 1
- Chapter 1 Statistics and Excel
- 1.1 How This Book Differs from Other Statistics Texts
- 1.2 Statistical Applications in Health Policy and Health Administration
- Exercises for Section 1.2
- 1.3 What Is the "Big Picture"?
- 1.4 Some Initial Definitions
- Exercises for Section 1.4
- 1.5 Five Statistical Tests
- Exercises for Section 1.5
- Key Terms
- Chapter 2 Excel as a Statistical Tool
- 2.1 The Basics
- Exercises for Section 2.1
- 2.2 Working and Moving Around in a Spreadsheet
- Exercises for Section 2.2
- 2.3 Excel Functions
- Exercises for Section 2.3
- 2.4 The =IF() Function
- Exercises for Section 2.4
- 2.5 Excel Graphs
- Exercises for Section 2.5
- 2.6 Sorting a String of Data
- Exercise for Section 2.6
- 2.7 The Data Analysis Pack
- 2.8 Functions That Give Results in More than One Cell
- Exercises for Section 2.8
- 2.9 The Dollar Sign () Convention for Cell References
- Chapter 3 Data Acquisition: Sampling and Data Preparation
- 3.1 The Nature of Data
- Exercises for Section 3.1
- 3.2 Sampling
- Exercises for Section 3.2
- 3.3 Data Access and Preparation
- Exercises for Section 3.3
- 3.4 Missing Data
- Chapter 4 Data Display: Descriptive Presentation, Excel Graphing Capability
- 4.1 Creating, Displaying, and Understanding Frequency Distributions
- Exercises for Section 4.1
- 4.2 Using the Pivot Table to Generate Frequencies of Categorical Variables
- Exercises for Section 4.2
- 4.3 A Logical Extension of the Pivot Table: Two Variables
- Exercises for Section 4.3
- Chapter 5 Basic Concepts of Probability.
- 5.1 Some Initial Concepts and Definitions
- Exercises for Section 5.1
- 5.2 Marginal Probabilities, Joint Probabilities, and Conditional Probabilities
- Exercises for Section 5.2
- 5.3 Binomial Probability
- Exercises for Section 5.3
- 5.4 The Poisson Distribution
- Exercises for Section 5.4
- 5.5 The Normal Distribution
- Chapter 6 Measures of Central Tendency and Dispersion: Data Distributions
- 6.1 Measures of Central Tendency and Dispersion
- Exercises for Section 6.1
- 6.2 The Distribution of Frequencies
- Exercises for Section 6.2
- 6.3 The Sampling Distribution of the Mean
- Exercises for Section 6.3
- 6.4 Mean and Standard Deviation of a Discrete Numerical Variable
- Exercises for Section 6.4
- 6.5 The Distribution of a Proportion
- Exercises for Section 6.5
- 6.6 The t Distribution
- Exercises for Section 6.6
- Part 2
- Chapter 7 Confidence Limits and Hypothesis Testing
- 7.1 What Is a Confidence Interval?
- Exercises for Section 7.1
- 7.2 Calculating Confidence Limits for Multiple Samples
- Exercises for Section 7.2
- 7.3 What Is Hypothesis Testing?
- Exercises for Section 7.3
- 7.4 Type I and Type II Errors
- Exercises for Section 7.4
- 7.5 Selecting Sample Sizes
- Exercises for Section 7.5
- Chapter 8 Statistical Tests for Categorical Data
- 8.1 Independence of Two Variables
- Exercises for Section 8.1
- 8.2 Examples of Chi-Square Analyses
- Exercises for Section 8.2
- 8.3 Small Expected Values in Cells
- Exercises for Section 8.3
- Chapter 9 t Tests for Related and Unrelated Data
- 9.1 What Is a t Test?
- Exercises for Section 9.1
- 9.2 A t Test for Comparing Two Groups
- Exercises for Section 9.2
- 9.3 A t Test for Related Data
- Exercises for Section 9.3
- Chapter 10 Analysis of Variance
- 10.1 One-Way Analysis of Variance.
- Exercises for Section 10.1
- 10.2 ANOVA for Repeated Measures
- Exercises for Section 10.2
- 10.3 Factorial Analysis of Variance
- Exercises for Section 10.3
- Chapter 11 Simple Linear Regression
- 11.1 Meaning and Calculation of Linear Regression
- Exercises for Section 11.1
- 11.2 Testing the Hypothesis of Independence
- Exercises for Section 11.2
- 11.3 The Excel Regression Add-In
- Exercises for Section 11.3
- 11.4 The Importance of Examining the Scatterplot
- 11.5 The Relationship between Regression and the t Test
- Exercises for Section 11.5
- Chapter 12 Multiple Regression: Concepts and Calculation
- 12.1 Introduction
- Exercises for Section 12.1
- Chapter 13 Extensions of Multiple Regression
- 13.1 Dummy Variables in Multiple Regression
- Exercises for Section 13.1
- 13.2 The Best Regression Model
- Exercises for Section 13.2
- 13.3 Correlation and Multicolinearity
- Exercises for Section 13.3
- 13.4 Nonlinear Relationships
- Exercises for Section 13.4
- Chapter 14 Analysis with a Dichotomous Categorical Dependent Variable
- 14.1 Introduction to the Dichotomous Dependent Variable
- 14.2 An Example with a Dichotomous Dependent Variable: Traditional Treatments
- Exercises for Section 14.2
- 14.3 Logit for Estimating Dichotomous Dependent Variables
- Exercises for Section 14.3
- 14.4 A Comparison of Ordinary Least Squares, Weighted Least Squares, and Logit
- Exercises for Section 14.4
- Appendix A Multiple Regression and Matrices
- An Introduction to Matrix Math
- Addition and Subtraction of Matrices
- Multiplication of Matrices
- Matrix Multiplication and Scalars
- Finding the Determinant of a Matrix
- Matrix Capabilities of Excel
- Explanation of Excel Output Displayed with Scientific Notation.
- Using the b Coefficients to Generate Regression Results
- Calculation of All Multiple Regression Results
- Exercises for Appendix A
- References
- Glossary
- Index
- EULA.
- Notes:
- Description based on publisher supplied metadata and other sources.
- Other Format:
- Print version: Kros, John F. Statistics for Health Care Management and Administration
- ISBN:
- 9781118712641
- OCLC:
- 935251560
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