Quantifying uncertainty
Chance may affect the results of a study if too few outcomes have been observed to yield reliable estimates of treatment effects. Small studies in which few outcome events occur are usually not informative and the results are sometimes seriously misleading.
JLL Essay
3.2 Quantifying uncertainty in treatment comparisons Assessing the role that chance may have played in fair tests
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