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Odds ratios (OR) with 95% confidence interval (CI) were calculated using the Wald method.
Where 95%CI were not calculated in the original manuscripts, these have been calculated using the Wald method.
Confidence intervals were calculated by using the Wald method when the sample consisted of more than 150 persons and the adjusted Wald method when the sample consisted of less than 150 persons [ 32].
Similar(57)
MR estimates were obtained using the Wald ratio method (1).
Deviance statistics were used for model selection, and parameters were tested using the Wald chi-square method.
Tests of the differences in genotype prevalence among these groups were evaluated using the Wald chi-square method.
The values obtained using the Wald confidence interval method tended to be the lowest, although these were very similar to the values from the prediction interval for the lower 95% control limits.
Both the Robust Poisson method using the Wald test and the log-binomial method using the likelihood ratio test almost always had acceptable size, but the log-binomial method generally had higher power.
Multivariable linear regressions analyses of associations of BP or echocardiographic parameters were adjusted for covariates selected by forward method, using the Wald test with p-values of < 0.20; the selection was based on biological plausibility, their influence on model fit (based on R value), or their effect on the association between the arsenical variables and the cardiovascular parameters.
To increase consistency we also applied this method to UFMLR models, using the Wald test statistic as measure of association.
Model parameters were estimated by using the maximum likelihood method; their statistical significance was assessed by using the Wald statistic (8 ).
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