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The phrase "adjusted for inclusion" is correct and usable in written English.
It can be used in contexts where something has been modified or adapted to be included in a particular group, category, or analysis.
Example: "The data was adjusted for inclusion in the final report to ensure all relevant factors were considered."
Alternatives: "modified for inclusion" or "adapted for inclusion".
Exact(3)
In all analyses, we pooled the two control groups into one group and adjusted for inclusion date.
For the analyses described in this manuscript, we pooled the two control groups into a single group and adjusted for inclusion date.
Since treatment may be an effect modifier masking associations with radiological progression, the analyses in these data-sets were adjusted for inclusion period as proxy for treatment.
Similar(57)
Of the four trials that were selected for inclusion in the meta-analysis, only one trial showed a statistically significant reduction in the incidence of NP [ 10]; yet, the study failed to adjust for inclusion of repeated observations.
For this reason, we use information on all respondents giving the full interview in a given year weighted with cross-sectional weights available in the BHPS that adjust for inclusion of new entrants and for within household nonresponse.
When adjusted for possible inclusion of unqualified providers, the level may be as low as one fourth of the WHO benchmark.
All analyses in the present study were adjusted for the inclusion period as a proxy for the initially applied treatment strategy, and the results obtained for IL2RA were thus independent of the effect of changes in treatment strategies.
In the cohorts that included patients in periods with different treatment strategies (EAC, Umeå and HCSC-RAC) analyses were also adjusted for the inclusion period as proxies for differences in treatment strategies.
Confounding was adjusted for by inclusion of age, sex, smoking (never, former, and current smokers), BMI (calculated as weight (kg)/height (m), continuous), family history of diabetes (yes/no), and education (primary school, upper secondary school, or university) in all models, unless otherwise specified.
2) Analysis of covariance was used to analyze differences in mean DAS28 and HAQ scores at the different time points between parous and nulliparous women, adjusted for age at inclusion in EIRA.
The significant differences within groups and variations within professions could indicate study weaknesses, thus the MLM analysis adjusted for these and indeed inclusion of the covariates in the analyses did not influence the results.
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CEO of Professional Science Editing for Scientists @ prosciediting.com