Sentence examples for cross-sectional estimates from inspiring English sources

Cross-sectional estimates of contraceptive use do not provide understanding of time to postpartum uptake.

For men, we observe the same pattern for Panel 5 in which the cross-sectional estimates increases to 11percentt.

Here we report evidence of heterogeneity in cross-sectional estimates of the elasticity of vehicle-kilometres of travel (VKT) with respect to income, when household income is disaggregated on the basis of income source.

Our pooled rMZ were 0.38 and 0.39 for absolute and relative VO2max, respectively, and appear to be smaller than heritability estimates for an individual's pre-training VO2max, although the CIs for our results include the cross-sectional estimates.

Although these are technically cross-sectional estimates of marginal effects, we can translate them into longitudinal trends to provide a rough guess of the possible implications of delayed childbearing, as the original study [10] had also done.

The GYTS sample design produces representative, independent, cross-sectional estimates for each site.

This coefficient is less than a fifth of the size of the −0.207 cross-sectional estimate of γ in our base specification, being close instead to the −0.030 estimate from the MSA FE specification in Table 2.

Differences in this initial cross-sectional estimate of mean CVL for various populations were assessed using the Kruskal-Wallis test.

Finally, studies that have examined reductions in parasite prevalence due to nets or ITN among older children in high transmission areas will have been unable to identify the true impact on the incidence of infection through a simple cross-sectional estimate of prevalence [27], [28], [33], [35].

The CCHS provided a cross-sectional estimate of health determinants, health status and health care utilisation in the Canadian population, and was conducted between September 2000 and November 2001 by Statistics Canada.

Objective 2 was accomplished with simple Pearson-correlations, for analyzing the cross-sectional association between CD-RISC and age, and ANOVAs, for cross-sectional estimating of differences in CD-RISC scores by gender and hostage status, at baseline and follow-up points.