Biases in tests of treatments are those influences and factors that can lead to conclusions about treatment effects that are systematically different from the truth.

Sub-topics:

• Design bias
• Allocation bias
• Co-intervention bias
• Observer bias
• Analysis bias
• Biases in judging unanticipated possible effects
• Reporting bias
• Biases in systematic reviews
• Researcher/sponsor bias and fraud