Acknowledgments
Author
List of abbreviations
Introduction
1 Descriptive statistics
1.1 Terms
1.2 Introduction
1.3 Measures of central tendency (Measures of location)
1.4 Example of geometric mean using data from the 2014 National Health and Nutrition Examination Survey
1.5 Measures of spread
1.6 Measures of variability
1.7 Types of graphs
1.8 Outliers and standard distribution rules
1.9 References
Lab A: Introduction to SAS®
Lab A: Introduction to Stata®
2 Probability
2.1 Terms
2.2 Introduction
2.3 Properties of probabilities
2.4 Laws of probability
2.5 Mutually exclusive and exhaustive
2.6 References
3 Diagnostic testing/screening
3.1 Terms
3.2 Introduction
3.3 Diagnostic terms and concepts
3.4 Reciever operating characteristic curves
3.5 References
4 Discrete probability distributions
4.1 Terms
4.2 Introduction
4.3 Examples of discrete random variables
4.4 Examples of continuous random variables
4.5 Measures of location and spread for random variables
4.6 Permutations and combinations
4.7 Binomial distribution
4.8 Poisson distribution
4.9 References
5 Continuous probability distributions
5.1 Terms
5.2 Introduction
5.3 Distribution functions
5.4 Normal distribution
5.5 Review of probability distributions
5.6 References
Lab B: Probability distributions
6 Estimation
6.1 Terms
6.2 Introduction
6.3 Statistical inference
6.4 Sampling
6.5 Randomized clinical trials
6.6 Population and sample mean
6.7 Confidence intervals for means
6.8 Using the standard normal distribution for a mean
6.9 The t-distribution
6.10 Obtaining critical values in SAS and Stata
6.11 Sampling distribution for proportions
6.12 Confidence intervals for proportions
6.13 References
7 One-sample hypothesis testing
7.1 Terms
7.2 Introduction
7.3 Basics of hypothesis testing
7.4 Confidence intervals and hypothesis tests
7.5 Inference for proportions
7.6 Determining power and calculating sample size
7.7 References
Lab C: One-sample hypothesis testing, power, and sample size
8 Two-sample hypothesis testing
8.1 Terms
8.2 Introduction
8.3 Dependent samples (paired tests)
8.4 Independent samples
8.5 Sample size and power for two-sample test of means
8.6 References
9 Nonparametric hypothesis testing
9.1 Terms
9.2 Introduction
9.3 Types of data
9.4 Parametric vs. nonparametric tests
9.5 References
Lab D: Two-sample (parametric and nonparametric) hypothesis testing
10 Hypothesis testing with categorical data
10.1 Terms
10.2 Introduction
10.3 Two-sample test for proportions
10.4 References
11 Analysis of variance (ANOVA)
11.1 Terms
11.2 Introduction
11.3 Within- and between-group variation
11.4 ANOVA assumptions
11.5 Testing for significance
11.6 References
12 Correlation
12.1 Term
12.2 Introduction
12.3 Population correlation coefficient (ρ)
12.4 Pearson correlation coefficient (r)
12.5 Spearman rank correlation coefficient (rs)
12.6 References
13 Linear regression
13.1 Terms
13.2 Simple linear regression
13.3 Multiple linear regression
13.4 Other explanatory variables
13.5 Model selection
13.6 References
14 Logistic regression
14.1 Term
14.2 Introduction
14.3 Interpretation of coefficients
14.4 References
15 Survival analysis
15.1 Terms
15.2 Introduction
15.3 Comparing two survival functions
15.4 References
Lab E: Data analysis project
Appendix: Statistical tables
Index
