Using research and statistics in health care
Descriptive statistics : getting to know the data
Key principles of statistical inference
Hypothesis testing with inferential statistics
Measuring the differences between the means two unrelated group means : independent t-tests and Mann-Whitney U-tests
Measuring the differences between the means of two related groups : paired t-tests and Wilcoxon Matched Pairs tests
Measuring the differences between the means of three or more unrelated groups : one way ANOVAS and the Kruskal-Wallis H-tests
Differences among the means of three or more unrelated groups defined by two or more independent variables : N-way ANOVA
Comparing the means of three or more related groups : repeated measures ANOVA and Friedman鈥檚 ANOVA by rank
Analysis of covariance (ANCOVA)
Measuring the association of two variables : Pearson and Spearman correlation
Examining cross tabulations : the Chi-square statistic and the McNemar test
Logistic regression
Linear regression and regression diagnostics
Factor analysis
Path analysis
Structural equation modeling
Writing for presentation and publication.