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Randomisation eliminates selection bias.
Randomisation eliminates selection bias: there are, however, other forms of bias we guard against.
One of the most important aspects of random allocation is that it eliminates selection bias.
The rationale is simply that this eliminates selection bias in the calibration.
Whilst randomisation eliminates selection bias, there are other sources of bias we need to avoid.
Random assignment to an intervention is considered the gold standard and when properly implemented it eliminates selection bias.
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Second, the random cluster sampling method utilised combined with the high response rate eliminated selection bias.
Nested models were fitted to high-spatiotemporal resolution satellite (GPS) telemetry, controlled for temporal autocorrelation, and eliminated selection bias of pseudo-absences using a semi-non-parametric bootstrap.
Randomisation should eliminate selection bias.
All eligible women were included, thus eliminating selection bias.
We employed simple random sample selection at each stage to eliminate selection bias.
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