MetaBin

[…] was performed to come to a consensus., meta-analysis was conducted using r 3.12 software (r foundation for statistical computing, beijing, china; http://www.r-project.org) with function metagen, metabin, metabias, etc. (r package: meta). the hazard rates (hrs) or odds ratios (ors), as well as their 95% confidence intervals (cis), were selected as the effect indexes for evaluating […]

[…] 20,000-simulation burn-in phase. direct probability statements were derived from an additional 50,000-simulation phase []. thirdly, with the r 3.2.1 software, two-category data was produced by using metabin function. with or as effect size, mantel-haenszel method was used to calculate fixed effect model or random effect model. when p > 0.05, we chose fixed effect model otherwise we chose […]

[…] shown in figure ., analyses were performed in r version 3.3.1 (r development core team, ), using functions from packages “meta” (schwarzer, ) and “metaphor” (viechtbauer, ). we used the “metabin” function to transform the count data into the (log-) odds ratio described above. we then weighted these values by the inverse of their respective squared standard errors, and pooled […]

[…] a homology-based or a composition-based approach, or a combination of these two approaches (sharma et al., ). among the two approaches, the homology-based methods, such as megan (huson et al., ) and metabin (sharma et al., ), are more sensitive and accurate, but suffer primarily due to the time required to generate the blast or blat alignments. the composition-based or marker-gene based […]

[…] and precision were recalculated after reclassifying overpredictions as correct classifications (fig. ). there was notable increase in sensitivity and precision for methods such as megan4 and metabin which are less conservative in their predictions. for more conservative methods such as carma3 and discribinate, there was little change.fig. 3, the changes in sensitivity, precision, […]