Sentence examples for adjusting for underlying from inspiring English sources

The phrase "adjusting for underlying" is correct and usable in written English.
It can be used in contexts where you are accounting for or considering foundational factors or conditions in an analysis or calculation.
Example: "In our study, we are adjusting for underlying economic conditions to ensure accurate results."
Alternatives: "accounting for fundamental" or "considering base-level".

Exact(12)

When adjusting for underlying disease, this relationship did not change.

After adjusting for underlying diseases, schizophrenics had a higher incidence of newly-diagnosed TB, but comparable outcomes to the general population.

Patients with H1N1/09 influenza were more likely to require ICU admission, although after adjusting for underlying risk factors, this difference was no longer statistically significant.

After adjusting for underlying illness, younger persons were also more likely to recover fully than older persons (RR = 2.3, 95% CI 0.97 5.5).

However, after adjusting for underlying aetiological differences such as socioeconomic deprivation, ethnicity and maternal age, wide variation between PCTs persisted in this early gestational age group.

As for the first pathway, we observed an attenuation of RR for sensory impairments after adjusting for underlying conditions and risk factors, indicating that this pathway is a valid factor in our results.

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Similar(48)

Neutropenia was independently associated with poor outcome when adjusted for underlying malignancy, allogeneic stem cell transplantation and severity as assessed by organ support (OR 1.45; 95% CI 1.27 1.65).

The association between overall mortality and increasing age remained highly significant when adjusted for underlying co-morbidities or immunosuppression (p = 0.001).

When adjusted for underlying disease, receipt of these chemotherapeutic classes were still predictive of mortality.

Although some studies do not adjust for underlying trend, most of them do adjust for a linear one.

This analysis is able to adjust for underlying differences between groups, but it suffers from some degree of missing data.

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