Introduction

Hypothesis Testing

Choosing Between Parametric & Non-Parametric Tests

T-Test for Comparing Two Groups

T-Test – Interpreting Software Output

Paired T-Test

Mann-Whitney U-Test to Compare Two Groups When Data Are Not Normally Distributed

Log-Rank Test for Analysing ‘Time to Event’ Data

Methods to Compare Three or More Groups

Analysis of Variance (ANOVA)

Kruskall-Wallis Test for Non-Normal Data

Hypothesis Testing – Points to Remember

Reporting Results & Format for P-Values

Practical Exercise Roundup

Tests for Binary & Categorical Data – Introduction

Chi-Square Test & Fisher’s Exact Test - Binary Data

Chi-Square Test & Fisher’s Exact Test for Unordered Categorical Data

Tests for Ordinal Categorical Data

Correlation Analysis

Regression Analysis

Spearman Rank Correlation Analysis for Non-Normal Data

Introduction to Multiple Regression & Logistic Regression

Summary of Tests

Going Beyond Simple Comparisons

Statistical Packages