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Statistical tests 

Statistical tests

Chapter:
Statistical tests
Author(s):

Janet L. Peacock

and Philip J. Peacock

DOI:
10.1093/med/9780199551286.003.0008
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date: 20 August 2017

Introduction - Samples and populations - Confidence interval for a mean - 95% confidence interval for a proportion - Tests of statistical significance - P values - Statistical significance and clinical significance - t test for two independent means - t test for two independent means: example - t test for paired (matched) data - t test for paired data: example - z test for two independent proportions - Chi-squared test - Chi-squared test: calculations - Fisher’s exact test - Estimates for tests of proportions - Confidence intervals for tests of proportions - Chi-squared test for trend - McNemar’s test for paired proportions - Estimates and 95% confidence intervals for paired proportions - One-way analysis of variance - One-way analysis of variance: example - Analysis of variance table - Multiple comparisons - Correlation and regression - Pearson’s correlation - Correlation matrix - Simple linear regression - Simple linear regression: example - Wilcoxon two-sample signed rank test (Mann Whitney U test) - Wilcoxon two-sample signed rank test: calculations - Wilcoxon two-sample signed rank test: example - Wilcoxon matched pairs test - Wilcoxon matched pairs test: example - Rank correlation - Rank correlation: example - Survival data - Kaplan–Meier curves - Logrank test - Logrank test: example - Logrank test: interpreting the results - Transforming data - Transforming data: comparing means - Transforming data: regression and correlation - Transforming data: options

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