The phrase "adjusting for reference" is correct and usable in written English.
It can be used in contexts where you are making modifications or considerations based on a specific reference point or standard.
Example: "When analyzing the data, we will be adjusting for reference to ensure accuracy in our results."
Alternatives: "modifying for context" or "calibrating against a standard".
Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated using unconditional logistic regression, adjusting for reference age, study centre, country of birth, education level, marital status, number of live births, height, current oral contraceptive use status and reported first-degree family history.
aOdds ratio (OR) adjusted for reference age, body mass index, family history defined by any first-degree relative who had breast cancer, state, education level, country of birth, benign breast lump and age at menopause in postmenopausal women.
With 95% pointwise confidence limits as estimated by a random intercept model adjusting for age (reference, mean age = 53 years).
We estimated odds ratios (OR) and 95% CIs using unconditional logistic regression, adjusting for age, reference date year, serum lipids, education, race/ethnicity, smoking, and alcohol intake.
‡Model 2, we further adjusted for, smoking (reference: no), history of diabetes mellitus (reference: no), family history of premature CAD (reference: no), Hyper TG (reference: TG < 150 mg/dl), Hyper TC (reference: TC < 240), hypertension (reference: SBP/DBP < 140/90 mmHg).
The vertical bars shows the estimated mean within each group with 95% confidence limits as estimated by a random intercept model (with a variance component defined by the centre) adjusting for age at scan (reference, mean age = 53 years).
Binary logistic regression analyses were conducted for the dependent dichotomous variable utilization of PHC in 2008 comparing HIC and OIC immigrants to Norwegians (reference), adjusting for different variables.
We used Cox proportional hazards regression analysis and estimated 30-day MRRs with 1998 2000 as a reference, adjusting for age and gender.
Third, we assessed the risk of moderate to high myopia (refractive error ≤−3.0 D) versus moderate to high hyperopia (refractive error ≥3.0 D) for combined strata of genetic risk score and educational level with logistic regression analyses, using low genetic risk score and primary education as the reference, adjusting for age and sex.
The associations between risk of breast cancer and risk factors and CYP17 genotypes were assessed by multiple linear logistic regression, adjusting for the potential confounders reference age, body mass index, family history, education level, country of birth, benign breast disease, and age at menopause in postmenopausal women.
Multivariate linear regression was used to examine the association between natural log-transformed measures of stem cell potential (dependent variable) and birth weight (independent variable, using 3000 3499 g as the reference), adjusting for maternal and neonatal characteristics (mother's age, race of parents, number of live births, gestation duration, baby's gender, delivery time and study site).
