Design of experiments and analysing experimental data

Description:

Outline

This course is designed for those interested in the design, conduct, and analysis of experiments. The course will examine how to design and analyse the experimental data in the context of medical statistics.

We will discuss various designs and their respective differences, advantages, and disadvantages. The course includes a review of statistics background that is needed for conducting and analysing experiments. We will start discussing how to summarise data, confidence intervals and hypothesis testing and illustrate analysis techniques such as t-test, Analysis of Variance (ANOVA) and Analysis of Covariance (ANCOVA).

In addition, basic models with one independent variable and more complex models with two or more independent variables will be explained in greater detail. Stata and/or R software will be used to analyse the data.

Objectives

After attending the course you should be able to:

• Understand the principles of experimental design
• Understand different types of experimental design
• Know how to design experiments that are likely to yield valid results
• Understand the logic of hypothesis testing
• Have a basic understanding of the most common techniques used to analyse experimental data
• Be able to select appropriate statistics to test the proposed hypothesis
• Gain an understanding of how experiments can be used in business settings and help to increase profits and build competitive advantage. 

Prerequisites

Course attendees should be familiar with statistical software.

Cost:

£195/£140/£60

Website and registration:

https://www.cmi.manchester.ac.uk/study/short/introductory/intro-to-experimental-design/

Region:

North West

Keywords:

Experimental Research , Experimental design

Related publications and presentations:

Experimental Research
Experimental design

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