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Inclusion of all randomized participants in the analysis was unclear as it was reported at different levels of analysis (cluster, household, child) except for Nicholson 2008 IND, which reported 18% average attrition bias for all the subgroups in both arms.
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In addition to attrition bias on ADL scores, the sample had an estimated pre-morbid IQ a little above average.
The criteria were each judged with low, medium, and high risk of bias: case selection bias and confounding, attrition bias (loss of participants), detection bias (reliable measures?), reporting bias (selective or incomplete reporting), followed by a summary of the risk.
This is called attrition bias.
The bias of a sample can be caused by selection bias or attrition bias.
The null hypothesis of no attrition bias is rejected if this variable is significant.
As we will show below, in our case attrition bias cannot be rejected.
There was high risk of selection, performance and attrition bias in most studies.
Follow-up was not related to type of headache, and thus precludes attrition bias.
Cox regression was used to adjust for the effect of attrition bias.
There was a high risk of selection, performance, and attrition bias in most studies.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com