What Is Blinding In Statistics
This sort of blinding better referred to as allocation concealment will be discussed in a future statistics note.
What is blinding in statistics. Whilst it is encouraging to see a continued decrease in the proportion of those suffering from visual impairment there is still much work to be done to reduce the estimated 1 billion cases of visual impairment that could be prevented. Why blinding in statistics is important. Good blinding can reduce or eliminate experimental biases that arise from a participants expectations observer s effect on the participants observer bias confirmation bias and other sources.
In an experiment if subjects in the control group know that they are receiving a placebo the placebo effect will be reduced or eliminated. In a blind or blinded experiment information which may influence the participants of the experiment is withheld masked or blinded until after the experiment is complete. United states government agencies including the bureau of the census the national center for health statistics and the bureau of labor statistics use sophisticated statistical techniques that lead to population estimates with great accuracy.
We ve examined and compiled the most recent global data on visual impairment and blindness. And the placebo will not serve its intended control purpose. In controlled trials the term blinding and in particular double blind usually refers to keeping study participants those involved with their management and those collecting and analysing clinical data unaware of the assigned treatment so that they should not be.
If a patient knows they are receiving a real drug they will be more likely to report pain relief than those patients receiving a placebo. Blinding is the practice of not telling subjects whether they are receiving a placebo.
