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*Adjusted for heterogeneity when appropriate.
We will use the χ test for heterogeneity when appropriate for the direct analyses.
Quality assessment tools are being developed for prognostic studies to help identify study bias and causes for heterogeneity when performing meta-analysis.
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We explored for sources of heterogeneity when required.
We find further evidence for reporting heterogeneity when looking at aspects like health care utilization and health relevant behaviour.
Fixed effect model assists in controlling for unobserved heterogeneity when this heterogeneity is constant over time and correlated with independent variables.
Our study stresses the importance of accounting for topographical heterogeneity when assessing the impact of management practices on belowground ecological function.
There is a large disparity in the level of socioeconomic development and infrastructure among Peruvian localities, and therefore, it is important to control for this heterogeneity when analysing health outcomes.
We also used simulations to assess whether categorical treatment of branch length differences is an appropriate method to test for rate heterogeneity when a relative rate test does not reject rate constancy.
We then explore the usefulness of such tests for detecting composite heterogeneity when the power is high for the treatment comparison on the composite outcome as a whole.
Our multi-scale heterogeneity earthquake model is consistent with inferred earthquake models, such as SMGA models, and may be a useful approach for probabilistically introducing stress state heterogeneity when predicting ground motion for quantitative seismic hazard studies.
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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