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Moreover, there is a need to develop reliable tests for reporting bias across an entire network of trials.
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We recommend this approach for the development of new tests, and for reporting test accuracy for different patient populations.
Such results are mainly testing for the change in accounting quality from Old to New CAS which is not the main focus of this study as there could be other control variables not considered in addition to testing for reporting frequency.
Harbord's test for reporting bias was negative (P = 0.2).
We propose a test for reporting bias in trial networks.
Table 3 shows self reported health status and the outcomes used to test for reporting bias.
Harbord's test for reporting bias just reached statistical significance (P = 0.03).
In this paper, we proposed a test for reporting bias in networks of trials.
In addition, three of the four questions that tested for reporting bias were not significantly affected by the intervention.
Of the four outcomes used to test for reporting bias (diarrhoea, vomiting, ear infections, and twisted ankles) only twisted ankles showed a significant effect.
* The P value represents the Chi-square test for reported receipt of mammography screening by age stratified by preferred role in decision-making.
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