Biases

Here is a list of all Biases in the Catalogue.  Check back regularly as we are adding new ones over time.

 

Confounding by indication

A distortion that modifies an association between an exposure and an outcome, caused by the presence of an indication for the exposure that is the true cause of the outcome.

Read More
 

Data-dredging bias

A distortion that arises from presenting the results of unplanned statistical tests as if they were a fully prespecified course of analyses.

Read More
 

Diagnostic access bias

Individuals differ in their geographic, temporal and economic access to diagnostic procedures which label them as having a given disease.

Read More
 

Diagnostic suspicion bias

Knowledge of a subject’s prior exposures or personal biases may influence both the process and the outcome of diagnostic tests.

Read More
 

Hawthorne effect

When individuals modify an aspect of their behaviour in response to their awareness of being observed.

Read More
 

Hot stuff bias

When a topic is fashionable (‘hot’)  investigators may be less critical in their approach to their research, and investigators and editors may not be able to resist the temptation to publish the results.

Read More
 

Hypothetical bias

A distortion that arises when an individual’s stated behaviour or valuation differs to that of their real behaviour or valuation.

Read More
 

Immortal time bias

A distortion that modifies an association between an exposure and an outcome, caused when a cohort study is designed so that follow-up includes a period of time where participants in the exposed group cannot experience the outcome and are essentially ‘immortal’.

Read More
 

Information bias

Bias that arises from systematic differences in the collection, recall, recording or handling of information used in a study.  

Read More
 

Insensitive measure bias

The use of an insufficiently accurate method to detect the outcome of interest, such that clinically important differences are not detected.

Read More