Nursing Statistics - Table of Contents
Offering: Nursing Statistics
Titles: Nursing Statistics: Method and Concepts for Professional Nurses
By Dr. Roberto Bencivenga
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1. The Introductions
- 1.0 - What's this Chapter about?
- 1.1 - What this book is all about
- 1.2 - Some hints for how to use this book
- 1.3 - The role of statistics in nursing
- 1.4 - The key features of a statistical problem
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2. The Basic Language of Statistics
- 2.0 - What's this Chapter about?
- 2.1 - The concept of population
- 2.2 - Samples
- 2.3 - Variables, values and data
- 2.4 - Statistics and statistics
- 2.5 - Descriptive and inferential statistics
- 2.6 - Epidemiology
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3. The wonderful world of variables
- 3.0 - What's this Chapter about?
- 3.1 - Levels of measurement
- 3.2 - Continuous and discrete variables
- 3.3 - Independent and dependent variables
- 3.4 - Confounding and confusing variables
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4. Organizing the Data
- 4.0 - What's this Chapter about?
- 4.1 - Cleaning the data
- 4.2 - Organizing nominal data
- 4.3 - Organizing ordered data
- 4.4 - Organizing numerical data
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5. Numerical Summaries or: Making a long story short
- 5.0 - What's this Chapter about?
- 5.1 - Summarizing nominal data (and up)
- 5.2 - Basic summaries of ordered data
- 5.3 - Ranks and percentiles
- 5.4 - The two types of summaries for numerical data
- 5.5 - The arithmetic mean
- 5.6 - Common measures of variability
- 5.7 - Bivariate summaries: a first glimpse
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6. Graphical summaries or: a picture is worth a thousand statistics
- 6.0 - What's this Chapter about?
- 6.1 - Purpose of a graph
- 6.2 - Pie charts
- 6.3 - Bar graphs
- 6.4 - Box plots
- 6.5 - Scatter plots
- 6.6 - Line charts
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7. Facts and myths on probability
- 7.0 - What's this Chapter about?
- 7.1 - What is a probability, really?
- 7.2 - How to properly interpret probability values
- 7.3 - The role of information in probability
- 7.4 - The three methods to estimate a probability
- 7.5 - Some clinically famous probabilities
- 7.6 - Relative probabilities
- 7.7 - Case studies on Probability
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8. Sampling
- 8.0 - What's this Chapter about?
- 8.1 - The key factors affecting sampling
- 8.2 - Basic probability sampling methods
- 8.3 - Common non-probability sampling methods
- 8.4 - Sampling methods of the third kind
- 8.5 - Random sampling versus random assignment
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9. The bell curve and other distributions
- 9.0 - What's this Chapter about?
- 9.1 - Discrete distributions
- 9.2 - Continuous distributions
- 9.3 - The normal distribution
- 9.4 - Other continuous distributions
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10. The basics of Hypothesis Testing
- 10.0 - What's this Chapter about?
- 10.1 - Identifying the hypothesis to test
- 10.2 - The thinking behind hypothesis testing
- 10.3 - The mythical p-value and related jargon
- 10.4 - Defense against common HT misconceptions
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11. Technical aspects of Hypothesis Testing
- 11.0 - What's this Chapter about?
- 11.1 - Sides and tails of a test
- 11.2 - One- and two- sample tests
- 11.3 - Errors due to chance
- 11.4 - The power of a test
- 11.5 - Multiple Tests
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12. Common hypothesis testing methods
- 12.0 - What's this Chapter about?
- 12.1 - The four main features of a statistical test
- 12.2 - The chi-squared tests and their relatives
- 12.3 - Student's t-test
- 12.4 - ANOVA
- 12.5 - Non-parametric tests
- 12.6 - How to assess other tests
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13. Estimation
- 13.0 - What's this Chapter about?
- 13.1 - Point estimates and their limitations
- 13.2 - The confidence interval and its meaning
- 13.3 - The protocol for interval estimation
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14. Correlation and Regression
- 14.0 - What's this Chapter about?
- 14.1 - Correlation or regression?
- 14.2 - Scatter plots revisited
- 14.3 - Analyzing the correlation coefficient
- 14.4 - Linear regression of the common kind
- 14.5 - Case study on correlation and regression
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20. Complete Glossary
- 20.0 - Glossary