The phrase "adjusted proportion" is correct and usable in written English.
It can be used in contexts where you are discussing changes made to a ratio or fraction in relation to a specific variable or factor.
Example: "After analyzing the data, we found that the adjusted proportion of participants who preferred option A increased significantly."
Alternatives: "modified ratio" or "revised fraction".
Results were then transformed to obtain an adjusted proportion of patients with ethnicity data provided.
Descriptive analysis was undertaken using RDSAT (version 6.0) to generate adjusted proportion estimates with 95% confidence intervals.
The hospitals' adjusted proportion of defunctioning stomas varied from 0 to 100 %, and there was no significant correlation between the hospitals' adjusted stoma and anastomotic leakage rate.
Figure 2 shows the relation between the hospitals' adjusted proportion (O/E ratio) of defunctioning stomas and their overall anastomotic leakage rate (which varied from 3 to 18 %).
The (adjusted) proportion of HIV-positive women accessing ANC was estimated to be as high as 92 %, 57 % for access to HIV care, and 29%% for coverage with ARV drugs.
The conceptual advantage of this adjustment is that, if the initial portion of the movements were not directed at their targets, as the hypothesis underlying this analysis suggests, then the expected, adjusted proportion in each of the five categories would be the same,.125; this is the height of the horizontal reference line drawn across the figure.
After regression models were fit, adjusted proportions of helmet use in each subpopulation for each time period were calculated using predictive margins with covariates held at their observed values.
We estimated adjusted proportions of CS with logistic regression models.
Odds ratios were then back transformed to calculate adjusted proportions for each ethnic group.
Prior to analysis adjusted proportions were calculated using a logit transformation [ 20].
In order to calculate attributable percentage tobacco consumption for each level of education, adjusted proportions were used (adjusted for age, gender, rural/urban residence and family income).
