Treatment comparisons must be fair
Untrustworthy treatment comparisons are those in which biases, or the play of chance, or both result in misleading estimates of the effects of treatments. Fair treatment comparisons avoid biases and reduce the effects of the play of chance.
JLL Essay
1.3 Why treatment comparisons must be fair 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