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Data sources and analysis Dataset for the evaluation consists of semi-structured interviews, documents and field notes, observations, and quantitative data.
The Bottomly data [ 17] was used as the main analysis dataset for evaluation and was chosen because of its relatively large number of biological replicates.
For many patients in the analysis dataset for the risk sharing scheme, however, three year assessments are not yet available and so, in the primary analyses, we accepted unconfirmed disease progressions at this stage, even though further follow-up might modify these.
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While the Per-Protocol dataset is intended as the primary analysis source for the primary endpoint, the Full Analysis dataset is included for comparison.
For each survey, the analysis dataset contained a record for every enumerated household member.
For analysis, datasets with inconsistencies concerning age, gender and smoking status were excluded (N=180).
My thesis research involved the analysis of datasets for which the number of degrees of freedom varies across the parameter space.
For analysis, the datasets for CO, ef1α, Mpi, and Tpi were supplemented with published sequences from GenBank [ 24].
In the analysis, random datasets for the same number of items and participants as actual observation were generated.
Maximum parsimony (MP) analysis for dataset #1 was performed using PAUP* 4.0b10 [ 46].
An exhaustive analysis of an extensive dataset for a single tropical country is lacking.
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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