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Although the multivariate analyses adjust the estimates for the influence of age, sex etc, this might cover differences within strata of the various variables, therefore the estimates were explored with various stratifications: 1. Sex: Stratification for sex was done to investigate the possibility of differences in susceptibility to those lifestyle-factors between boys and girls.
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The uncertainty associated with estimates is explored with a bootstrap resampling procedure to produce cost-effectiveness planes as well as targeted one-way sensitivity analyses of potential drivers of key cost (such as type of ward).
The relations between biomarkers of oxidative stress and separate O3 (2 weeks prior, 1 month prior, estimated lifetime) exposure estimates were explored further with multivariable regression to control for the following covariates: sex, ethnicity, BMI, and FRAP.
Quality of life estimates were explored using alternative utility estimates from external sources.
The same set of parameter estimates was explored using the GRM built with those SNPs (G S ; Table 4), as well as using the GRM built with the SNPs with inconsistent effects in both breeds (G D ; Table 5).
The usefulness of these estimates are explored by (i) comparing aggregated data with local area estimates from other sources and (ii) including practice level estimates in a model of CHD mortality.
A total of 100 000 alternative tables were explored with the Markov chain and probabilities were typically estimated with a standard error of < 0.001.
Correlations were explored with Spearman's coefficient.
Heterogeneity was explored with I2 estimate [ 40].
Additionally, the XFEM based algorithm available in the finite element code ABAQUS is explored with respect to its performance in estimating crack growth paths.
The influence of additive Gaussian noise on the response data is explored with respect to the quality of the resulting parameter estimates.
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