AITHM Workshop - Prof Petra Buttner

Bias in Quantitative Analytical Studies

(presented by Prof Petra Buttner)
Venue: Cairns D3:150

Date: Thursday,  20^th October (9:00am -12:00pm)

Please register your place with aithm.cairns@jcu.edu.au  

Contents overview:

The three basic types of bias

1. Selection Bias,
2. Information Bias, and
3. Confounding Bias

will be discussed in detail. Their practical implications together with approaches to avoid / control bias in different study designs will be presented and deepened by practical exercises. 

Key learning objectives:
At the end of the workshop, the successful participant will be knowledgeable about:

• the difference between sample and population;
• the distinction between random error and systematic error and how both can be addressed;
• generalizing the finding of an epidemiological study;
• the concept of bias;
• selection bias;
• information bias;
• the difference between differential and non-differential misclassification;
• confounding bias;
• the difference between confounding and effect modification;
• measures available to control bias; and
• the concept of the direction of bias, especially the difference between bias towards the null, away from the null, and switch-over bias.

Prior Knowledge:

A successfully completed epidemiology subject at undergraduate level will be helpful but is not essential.

Recommended Reading:

Epidemiology
by P Buttner and R Muller (Oxford University Press; 2^nd Edition 2015)