文档介绍：new methods and traditional methods in report forms.
The simulated Meta-analysis data were generated by means of . This study employed the method of Monte Carlo to estimate the accuracy of the new methods and traditional methods to detect publication bias in simulated Meta-analysis for bination of parameters which was set when generating the simulated Meta-analysis data. According to the pilot simulation study, simulation repeated 1000 times in each bination of parameters. Simulation was based on different random seed in bination of parameters. The significant level of hypothesis test was at .
Results The sensitivity to detect the publication bias of the new method based on the sequence of publication date (the method of the total runs and the method of effect size-the sequence of publication date linear model) was low and the specificity to detect the publication bias of the new method was acceptable; the accuracy of the method of the total runs was less than the accuracy of the method of effect size-the sequence of publication date linear model; the sensitivity of the method of unweighted linear model was more than the sensitivity of the methods of weighted linear model, however, the specificity of the method of unweighted linear model was less than the specificity of the method of weighted linear model; the sensitivity of the new method based on the sequence of publication date was less than the sensitivity of the traditional method (Egger’s method and Begg’s method), but the specificity of the new methods based on the sequence of publication date was not less than the sensitivity of the traditional method; when the population effect size (SMD or ln(OR)) approximated to zero, then the sensitivity of all methods was low, but when the population effect size increased, the sensitivity of all methods increased early and decreased latter and the specificity of all methods immobilized. That is, the accuracy of all methods might relate to the magnitude of