Co-intervention bias
Knowledge of which treatments have been received by which study participants can affect adherence to assigned treatments and result in the biased use of other treatments (co-interventions). These biases can be reduced by using placebos to conceal the identities of the treatments being compared.
JLL Essay
2.3 Why avoiding differences between treatments allocated and treatments received is important Helping people to stick to allocated treatments
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