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19 We also calculated Orwin's fail-safe N, which indicates the number of missing studies needed to make the effect size insignificant.
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Also, near-miss studies need to be conducted in other parts of the country to produce a more comprehensive national picture of the near miss morbidity for Nigeria.
A Fail-Safe N is the number of non significant, unpublished, or missing studies that would need to be added to the meta-analysis in order to change the overall result from significance to non-significance.
A fail-safe number is the number of non-significant, unpublished, or missing studies that would need to be added to the meta-analysis in order to change the results of the analysis.
We also calculated a fail safe number [21] for the meta-data set using the fail-safe number calculator [38] to estimate the number of non-significant, unpublished and or missing studies that would be needed to change the significant result to a non-significant result.
The effect of publication bias was assessed using the 'Tim and Fill' procedure [ 11], by which the pooled OR and 95% CI are re-calculated after imputation of the results of hypothetically missing studies which would be needed to minimise the effect of publication bias.
In other words, there need to be 99.1 missing studies for every observed study for the effect to be nullified.
Furthermore, when looked for missing studies using the trim-and-fill random effects model, no studies needed to be imputed.
I miss studying now.
"How could they miss she needed insulin?
For this study, we simply performed bicubic interpolation on the images so no missing pixel values needs to be regularized.
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