ƗƗ P-values relates to the Likelihood-ratio test (omnibus test) for whether the effect of ethnicity varies with language concordance (comparing model 2 with a model where the language-ethnicity concordance effect was constrained to be constant across the three ethnic groups).
There was also evidence (p = 0.0109) that the effect of language-ethnicity concordance varied within the South Asian group (i.e., Bangladeshi, Indian and Pakistani based on a likelihood-ratio test comparing model 2 with a model where the language-ethnicity concordance effect was constrained to be constant across the three ethnic groups).
Race/ethnicity and race/ethnicity concordance effects on risk factor control and treatment intensification were consistent regardless of whether the patient's preferred language was included in the model, when cut points of A1C <7% and SBP <130 mmHg were used, and when insulin use was adjusted for in models of treatment intensification for hyperglycemia (data not shown).
To empirically evaluate the concordance of effect estimates between case-only and parallel group designs and to identify predictors of discrepancies.
Despite the seemingly good concordance of effect and expectation concerning NO levels, the actual magnitudes of the coronary resistance changes seen in the present study were definitely limited.
Using the SNP effect concordance method (Nyholt 2014) and the NTR as a replication sample, we checked whether there is an excess of SNPs showing concordant effects in the meta-analysis by Verweij et al. (2013) and in our analysis.
A fixed-effects meta-analysis combining these results with those derived from our study confirmed the concordance of effects at the SNP level, showing an OR for the T allele of 2.18 (95 % CI, 1.35 3.50; p = 0.0013).
This process includes evaluation of sample and marker call rate, gender anomalies, duplicate and HapMap concordance, batch effects, Hardy-Weinberg equilibrium, Mendelian errors, sample relatedness, and population stratification.
Concordance of effects was assessed by exact binomial tests.
The concordance of effects for PHM and PAL at these three markers likely reflects their production from the same gene product.
This process includes evaluation of sample and marker call rate, sex mismatch, duplicate and HapMap concordance, batch effects, Hardy-Weinberg equilibrium, sample relatedness, and population stratification.
