Highlighter is on. Drag to highlight text. Click a highlight to remove it.
ALL / Clinical Sciences
Significance tests: types
Significance tests: types
The type of significance test used depends on whether the data is parametric (something which can be measured, usually normally distributed) or non-parametricParametric tests
- Student's t-test - paired or unpaired
- paired data refers to data obtained from a single group of patients, e.g. Measurement before and after an intervention
- unpaired data comes from two different groups of patients, e.g. Comparing response to different interventions in two groups
- Pearson's product-moment coefficient - correlation
Non-parametric tests
- Mann-Whitney U test
- compares ordinal, interval, or ratio scales of unpaired data
- Wilcoxon signed-rank test
- compares two sets of observations on a single sample, e.g. a 'before' and 'after' test on the same population following an intervention
- chi-squared test
- used to compare proportions or percentages e.g. compares the percentage of patients who improved following two different interventions
- Spearman, Kendall rank - correlation
+PassMedicine Notes
The type of significance test used depends on whether the data is parametric (something which can be measured, usually normally distributed) or non-parametric
Parametric tests- Student's t-test - paired or unpaired
- paired data refers to data obtained from a single group of patients, e.g. Measurement before and after an intervention
- unpaired data comes from two different groups of patients, e.g. Comparing response to different interventions in two groups
- Pearson's product-moment coefficient - correlation
- Mann-Whitney U test
- compares ordinal, interval, or ratio scales of unpaired data
- Wilcoxon signed-rank test
- compares two sets of observations on a single sample, e.g. a 'before' and 'after' test on the same population following an intervention
- chi-squared test
- used to compare proportions or percentages e.g. compares the percentage of patients who improved following two different interventions
- Spearman, Kendall rank - correlation
Choosing Common Statistical Tests