Biases
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.
JLL Essay
2.0 Avoiding biased treatment comparisons Topics
- Individual patient data
- Pre-clinical
- Fair tests of treatments
- The need to address treatment uncertainties
- Treatment comparisons are essential
- Treatment comparisons must be fair
- Biases
- 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
- The play of chance
- Bringing it all together for the benefit of patients and the public