Sentence examples for more standard errors from inspiring English sources

i) Differences in G and C nucleotides content were considered as significant when GC% deviated by two or more standard errors (SEs) regarding the respective means for all genes in the genome or deviations at first and third codon position were of the same sign and at least one was higher two or more SEs [ 35, 66].

Penalised regression gives more appropriate standard errors and more symmetrical log-likelihoods than unpenalised regression (Bull et al., 2007) so that a Normal-approximation draw is more appropriate than for "Normal/allow".

Specification tests indicate that there are substantial differences between Dislocated Worker program participants and those in the comparison group 16 quarters earlier, with participant earnings over $200 more and standard errors implying these differences are statistically significant (Table 2, line 6).

This provides larger p-values and more conservative standard errors.

Bollen-Stine bootstrap provides more realistic standard errors if there is serious departure from multivariate normality.

Bootstrapping with 500 replications was used to generate more precise standard errors than conventional OLS regression.

6 Bootstrap techniques can also be used to obtain more robust standard errors for the estimates.

Adjustments for clustering and stratification were made to yield more accurate standard errors for hypothesis testing using the STATA statistical software.

We also used robust modeling techniques which allowed for the assessment of the relative contributions of individual- and neighborhood-level characteristics as well as the estimation of more accurate standard errors than those produced using standard modeling techniques.

Finally, GLLAMM uses full pseudo-maximum-likelihood estimation for generalized linear mixed models with any number of levels using adaptive quadrature,[ 10] which may result in more appropriate standard errors, especially when working with categorical outcomes.

The advantage of utilizing general estimating equations was that it effectively increases the sample size (increasing power) and estimated more robust standard errors by taking into account the repeated measures and adjusting for covariates [ 32].