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To carry out such assessment, we compared the precision in which different clinicians and the same clinician, but at different times, obtained specific cephalometric measurements according to the method used (either the two-dimensional or three-dimensional technique).
To explore the accuracy of such assessment, we compared how community college instructors of life sciences courses perceive students' attitudes towards evolution with those students' actual attitudes towards evolution.
Using a comprehensive cognitive assessment, we compared the cognitive profiles of patients seen at a hospital-based memory clinic with LLS, AD, DEP, or NC.
To verify the robustness of the assessment, we compared results obtained by the two approaches.
Finally, to evaluate the impact of HbA1c on the accuracy of CVD risk assessment, we compared the discriminatory abilities between models with and without HbA1c.
With regard to whole-body assessment, we compared F-Choline-PET/CT, CeCT, and F-Fluoride-PET/CT in terms of their ability to detect bone metastases.
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For a quantitative assessment, we compare the accuracy and computational complexity of the proposed mixture with other approximations of HTR distribution through several numeral simulations on synthetic random samples.
Using demographic data from the 2000 Decennial Census and pollution data from the 1999 national Air Toxic Assessments, we compare the race-income correlation in each MSA for four races (white, black, Latino, and Asian) with the race-income.
In an effort to make a practical assessment available, we compared the performance of the three-item brief health literacy screen (BHLS) to other widely used measures of health literacy among patients with end-stage renal disease (ESRD).
We used both DREEM and JHLES to enhance the validity of our learning environment assessments, and we compared the performance of JHLES and DREEM at the 3 medical schools.
Because they (except EBCall) detected a similar amount of sSNVs from the data, to simplify our assessment, we directly compared each tool's number of true-positive predictions.
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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