Dear Sir. Concerning your issue about the interpretation of p-value using Egger's regression test. Egger et al. (1997) proposed a test for asymmetry of the funnel plot. This is a test for the Y intercept = 0 from a linear regression of normalized effect estimate (estimate divided by its standard error) against precision (reciprocal of the standard error of the estimate). StatsDirect provides this bias indicator method with all meta-analyses. Please note that the power of this method to detect bias will be low with small numbers of studies.In Meta analysis, how to interpret the Egger’s linear regression method intercept (B0) 10.34631, 95% confidence interval (1.05905, 19.63357), with t=3.54535, df=3. The 1-tailed p-value (recommended) is 0.01911, and the 2-tailed p-value is 0.03822. I think the following below links may help you in your analysis:
https://fhs.mcmaster.ca/anesthesiaresearch/documents/Sedgwick2013Meta-analyses-howtoreadafunnelplot.pdf
https://www.statsdirect.com/help/meta_analysis/bias_detection.htm
https://stats.stackexchange.com/questions/7040/egger-s-linear-regression-method-intercept-in-meta-analysis
http://www.bmj.com/content/343/bmj.d4002.full.print
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4289575/pdf/12874_2014_Article_1144.pdf
Thanks
Dear Sir. Concerning your issue about the interpretation of p-value using Egger's regression test. Egger et al. (1997) proposed a test for asymmetry of the funnel plot. This is a test for the Y intercept = 0 from a linear regression of normalized effect estimate (estimate divided by its standard error) against precision (reciprocal of the standard error of the estimate). StatsDirect provides this bias indicator method with all meta-analyses. Please note that the power of this method to detect bias will be low with small numbers of studies.In Meta analysis, how to interpret the Egger’s linear regression method intercept (B0) 10.34631, 95% confidence interval (1.05905, 19.63357), with t=3.54535, df=3. The 1-tailed p-value (recommended) is 0.01911, and the 2-tailed p-value is 0.03822. I think the following below links may help you in your analysis:
https://fhs.mcmaster.ca/anesthesiaresearch/documents/Sedgwick2013Meta-analyses-howtoreadafunnelplot.pdf
https://www.statsdirect.com/help/meta_analysis/bias_detection.htm
https://stats.stackexchange.com/questions/7040/egger-s-linear-regression-method-intercept-in-meta-analysis
http://www.bmj.com/content/343/bmj.d4002.full.print
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4289575/pdf/12874_2014_Article_1144.pdf
Thanks
Dear Sir, thank you for your kind, exhaustive answer. I understand that two-tailed p-values above 0.03822 could be related to possible bias. Is that correct? Please correct me if I’m wrong.
Kind regards
Dear Antonio
Yes you are correct. Begg's and Egger's tests are bot used to estimate asymmetry of data. Therefore, the p-value less than 0.05 implicates publication bias.
What if the p-value is significant but the confidence interval includes 1?
Dear all;
I am confused with what I have got an evidence for presence of publication bias in egger's test (P
- Badges
- Science topic
- Similar topics
- Mathematics
- Statistics
- Regression