Briefly, the aLRT is an approximate log-likelihood ratio statistic, where raw values > 8 are roughly "statistically significant", representing an e^8=3000-fold e^8=3000-fold the tree to the data when the clade is present (in terms of the likelihood).
We will evaluate statistical heterogeneity by visually inspecting the forest plots to detect overlapping CIs, applying the Chi test (P value < 0.10 considered statistically significant), and also by using the I statistic (where an I statistic of greater than 50% represents substantial heterogeneity).
Statistical heterogeneity among studies was evaluated using the I statistic, where values of 25%, 50%, and 75% represent cutoff points for low, moderate, and high degrees of heterogeneity, respectively (Higgins and Thompson, 2002).
Statistical heterogeneity among studies was evaluated using the I 2 statistic, where values of 25%, 500 %and75%5 % represent cut-off points for low, moderate and high degrees of heterogeneity, respectively [ 23].
Statistical heterogeneity among trials is expressed as the P value (Cochran's Q statistic), where a P < 0.05 and I statistic >50% indicated significant heterogeneity.
The cstat statistic is equivalent to the XSPEC implementation of the Cash statistic, where the background has to be modelled.
The wstat statistic is equivalent to the XSPEC implementation of the Cash statistic where the observed background data is included (i.e. does not have to be modelled).
"So for example, you get a statistic where 89% of British Muslim youngsters see Islam as their main identifier but RE is the least popular subject.
Stationarity corresponds to the Augmented Dickey Fuller statistic where the Akaike criterion was used to determine the lag order ***, **, *Denotes significance at the 1, 5, and 10%, respectively.
The plug-in version of this statistic where, for unknown (alpha, alpha =hat alpha =text {mle}left (alpha right) ), is just the statistic from the previous section.
And yet they are lost in the financial assistance statistic where it is presumed that, at first glance, an overwhelming majority of North Carolina non-group policyholders have access to affordable health insurance coverage.
