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They aim to adjust for the differences in fold differences between the different metabolites by converting the data into differences in concentration relative to the scaling factor.
Therefore, we utilize PSM to adjust for the differences in covariates.
We applied the random effects meta-analysis to adjust for the differences between studies, and the possible causes of heterogeneity were explored if covariate data at baseline (e.g., age, percentage of sex, type of AC injury, approach, number of bundle, timing of plate removal, duration before surgery and type of studies) were available.
Propensity score methodology was used to adjust for the differences in sampling strategies between the two studies.
Thirdly, we could not adjust for the differences existing between the articles included in our study due to limitations posed by meta analysis study design.
CoAIMs can be readily applied to GWAS as an efficient method to adjust for the differences in continental ancestry between cases and controls.
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To adjust for the difference in the sampling rates, we add an offset of -log π1/ π0) to the logistic regression model.
We used the linear regression model to adjust for the difference between the predicted and observed probability by calculating the predicted probability using the Adjuvant!
General Linear Models with fixed effect were used to adjust for the difference in NPI scores and the scores on the Cornell Scale for Depression in Dementia at baseline.
These authors used a multilevel logistic regression model to adjust for the difference in asthma severity at baseline and to account for any possible effect from clustering.
A linear regression model was also constructed to adjust for the difference between the predicted and observed probabilities in the high-risk subgroup.
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