Your English writing platform
Discover LudwigSuggestions(1)
Exact(1)
This study proposes the use of multilevel modeling, which tested intervention effects at specific time periods.
Similar(59)
Tables 4 and 5 report the findings from the multivariate ANOVA models which tested the effect of experimental conditions.
These 4 families were crossed with 2 other variants of model, which tested incidental hypotheses, as shown in the rows of Table 1.
Model 2 in Table 4 was an expanded model which tested whether the associations between early life variables and CRP and vWF persisted when the alternative biomarkers IL-6 and ICAM were included.
For this analysis, the category of any psychiatric disorder was used as an outcome in regression models which tested whether the characteristics of residential mobility measured were independent risks factor for psychiatric disorder.
The AIC values of models, which tested the relationship between the expression of CDH-1 and E2, P4, or PRL levels were higher than those determined for the model describing the expression of CDH-1 gene in dependence of tissue group and reproductive status/cycle stage.
In particular, we focus upon the proposition two outlined by Brantingham and Brantingham [1] model which tests the distance decay from the home base.
To make clear the hypothesis we are testing, we first consider an OLS model, which tests the effect of the relative labor supply of Mexican immigrants in an occupation on the wages of African-American workers in that occupation.
For the bivariate analysis between general cognitive ability and achievement we used the standard Cholesky decomposition model, which tests for common and independent genetic and environmental effects on variance in different traits.
The constrained seven-parameter models are then compared to the full eight-parameter model which tests the hypotheses whether the specified transition rates differ significantly from zero.
These two SNPs are the most likely to be associated with environmental effects because of their significance in the full model, which tests both genotype and environment effects.
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