Design bias
The design of treatment research often reflects commercial and academic interests; ignores relevant existing evidence; uses comparison treatments known in advance to be inferior; and ignores needs of users of research results (patients, health professionals and others).
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
