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Table 5 Results of the GLMM analysis for the J-League data when a year was regarded as a season Variable Coefficient SE p -value (mathrm{Win}_{t-1}) −0.352 0.101 <0.001 (mathrm{Loss}_{t-1}) 0.398 0.093 <0.001 The results of the previous match were used as the sole independent variables.
Table 8 Results of the GLMM analysis for the Fussballdaten data when the results of the previous match were used as the sole independent variables Variable Coefficient SE p -value (mathrm{Win}_{t-1}) −0.482 0.030 <0.001 (mathrm{Loss}_{t-1}) 0.407 0.031 <0.001 (mathrm{Win}_{t-1}) denotes the binary variable representing whether the team has won the previous match (0: no win, 1: win).
The probes were mapped to the B73 Refgenome genome sequence [21] with 100% identity and coverage [22] and only probes with a single perfect match were used for this analysis.
The reads that did not yield a match were used to predict novel miRNAs using MIREAP.
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This event marked the second time the Elevation X match was used by TNA.
In case of overlapping results, only the best match was used.
A 1 1 1 propensity match was used in this analysis.
The Multipurpose Atom-Typer for CHARMM (MATCH) was used to obtain parameters for NPG.
From each BLAST output the best match was used to annotate the transcript tags.
To test the specificity of the primers the software Probe Match was used.
Propensity score matching (1 to 1 match) was used to balance covariates between exposed patients and non-exposed patients.
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