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The phrase "using the same adjustments" is correct and usable in written English.
You can use it when referring to applying identical modifications or changes in a particular context, such as in a process or analysis. Example: "In our experiment, we achieved consistent results by using the same adjustments for each trial."
Exact(3)
Adjustment on possible confounders was performed with the multivariate Cox proportional hazards model using the same adjustments as previously.
We then tested (using the same adjustments) for effect modification of sex, ethnicity, baseline glucose tolerance status (normal fasting glucose [NFG] vs. IFG), and insulin resistance (HOMA-IR < vs. ≥ median split) on the association of adiponectin with incident diabetes.
Multivariate linear regression between serum urate levels and each of the known dietary trigger foods (using the same adjustments as stated previously) was also performed for all individuals and the male and female only subsets (Additional file 5: Table S4).
Similar(57)
A random effects model was conducted using the same adjustment factors as above except substituting gender mix with clinician gender.
In separate regression models using the same adjustment approach described above (Table 3), we also explored associations of total testosterone concentrations in daughters with continuous prenatal PFAAs.
Adjusted importance weights were then calculated for each element and domain using the same adjustment procedure as for the sub-elements to ensure equal contribution of criticality and frequency.
Interactions between quintiles of dietary fibre intake and TCF7L2 genotype on fasting plasma glucose and HbA1c were analysed by introducing a multiplicative factor of genotype and dietary quintiles as continuous variables using the same adjustment model as described for the MDCS above.
We used the same adjustment variables as in the main model but also adjusted for fluid overload prior to RRT, dichotomised as >10% vs. ≤10%, and the interaction term between mean daily fluid balance on RRT and fluid overload.
These models used the smoothing spline with 3 degrees of freedom for the continuous distance from major road and used the same adjustment variables as in the linear logistic models described above.
We used the same adjustment variables as shown in Table 3 and categorized the nurse-to-patient ratio into four groups (≤ 1.8, 1.8 to ≤ 1.9, 1.9 to 2.2, and > 2.2), using the first group as baseline.
HOMA-IR values were log-transformed, and their association with cancer mortality was evaluated using Cox proportional hazards models, using the same levels of adjustment as in models 1 3 but restricted to participants without diabetes.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com