# HAR6035: Introduction to Statistics and Critical Appraisal

#### Introduction

This module introduces students to the basic concepts and techniques of medical statistics, such as hypothesis testing and confidence interval estimation. Students will learn some simple statistical methods and the principles behind some of the more advanced techniques such as regression. It will equip students with the knowledge and skills necessary to understand and critically appraise statistics in research literature.

The course is not aimed at “doers” of statistics; that is, students who are going to design their own studies to collect and analyse their own data. It will not teach you how to analyse, present and report your own data. If you require this please see HAR6045

Please see "Additional Information" at the bottom of this webpage for more detail.

#### Objectives

This unit aims to:

• introduce students to fundamental concepts and methods in medical statistics;
• enable students to apply these concepts to critically appraise research literature.

#### Learning Outcomes

On satisfactory completion of the course, a student will be able to:

• Classify and appropriately display and summarise different types of data.
• Describe the properties of the Normal distribution.
• Distinguish between a population and a sample, and describe the precision of a sample estimate of a population parameter.
• Explain the concept of confidence intervals as applied to means, proportions, differences in means, and differences in proportions.
• Describe the process of setting and testing statistical hypothesis.
• Distinguish between ‘statistical significance’ and ‘clinical significance/importance’.
• Evaluate the quality of published research.

#### Teaching Methods

Lectures will be used to impart knowledge of key statistical concepts and methods, while structured exercise classes will apply these concepts to example data or published studies.

#### Assessment Details

 Component Weighting Online exercises Formative (0%) Three hour written exam 100%

Student knowledge and understanding of the applications of the statistical concepts and techniques taught will be assessed through:

• Three structured online exercises throughout the teaching block will address materials introduced in the lectures. This will allow a formative assessment of knowledge and application of basic concepts and the critical appraisal of the statistical content of published research literature.
• Three-hour unseen written examination. This will allow a summative assessment of knowledge and application of basic concepts and the critical appraisal of the statistical content of published research literature.

The pass mark is 50%.