Your English writing platform
Discover LudwigExact(1)
The cross sectional estimate of "ageing" was simply the difference in cognitive scores at baseline between those aged 45-49 and 55-59 at baseline.
Similar(59)
These analyses were then adjusted for education to examine its impact on the longitudinal and cross sectional estimates of "ageing".
Adjustment for education did not change the longitudinal estimates much but substantially reduced the cross sectional estimates of the effect of ageing on cognitive decline.
17 Furthermore, routine statistics cover breast and cervical screening separately and largely provide cross sectional estimates of coverage rather than information on women's lifetime use of screening.
The heritability estimates for change in cognition over time (absolute differences in scores adjusted for baseline performance) were expectedly lower than the cross sectional estimates, but there was still significant effect of a genetic factor seen in 5 of the 7 tests (Table 8).
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.
We showed that homeless people in the Airin district remain at high risk for active TB, and that the cross-sectional estimate of the prevalence of active TB was a rate of 1.52%9595% CI, 0.42-3.85) among homeless people in the Airin district, Osaka, Japan.
This study shows that the cross-sectional estimates behind such recommendations may be biased.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com