Your English writing platform
Discover LudwigSuggestions(5)
Exact(1)
Hence, we deployed Pesaran (2004) test of cross sectional dependence (CD) to all the four variables.
Similar(59)
Models 3 and 4, the non-robust and robust versions of the AMG estimator, do not pass the Pesaran (2004) test of cross-sectional dependence for the 81 countries sample, so the results presented should be interpreted with caution.
Augmentation terms omitted Common Correlated Effects Mean Group (CCE) and Augmented Mean Group (AMG) estimators with robust and non-robust options estimated with the Eberhardt (2012) xtmg Stata routine (a) The results of this estimator do not pass the Pesaran (2004) test of cross-sectional dependence Number of countries: 80 Observations: 3557 Countries: Argentina, Australia.
Tests for interaction were performed by the Wald test of cross-product terms.
Interaction significance was evaluated using the Wald test of cross-product terms (e.g., median diet score times median BMI).
For a preliminary test of cross-transferability to other Hawaiian mints, 30 of these primer sets were tested for the species Stenogyne calaminthoides, Phyllostegia warshaueri, and Haplostachys haplostachya.
Interaction was tested by the Wald test of cross-product terms of race/ethnicity and IGF-axis proteins entered into the models.
A test of cross-sensitivity of a collection of MMS-sensitive yeast mutants to hydroxyurea, UV light and γ-radiation found only 41 of 103 mutants showed cross-sensitivity to all three treatments [ 15].
A chi-square test of cross-tabulations and a Fisher exact test were used to examine the relationship between the expression of eIF4E and integrin αvβ6 and their clinicopathologic characteristics.
The regular DFA that included 163 calls (one randomly selected call per bout) indicated that 55.7% of calls were correctly classified to their eliciting context (cross-validated: 44.2%), significantly better than the chance value of 33% (binomial test of cross-validated classification: P = 0.003, N = 163).
Despite the fact that this topic is logically relevant across groups (as everyone engages in activity, or is inactive, to varying degrees), it has been well-established that certain types of items in this content domain in fact fail the fundamental test of cross-cultural equivalence, especially when they have originally been developed for White, Non-Latino respondents.
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