Sentence examples for matching to adjust from inspiring English sources

We will use propensity score matching to adjust for the non-random probability of receiving endoscopic screening or surveillance.

We therefore used propensity score matching to adjust for differences in baseline risks to patients treated with these agents.

To deal with this possibility, we performed propensity score matching to adjust for the differences in clinical, angiographic, and procedural characteristics between the groups.

We used propensity-score matching to adjust for differences between users and control for each dosage, and compared serum chemical data including serum sodium, potassium, uric acid, creatinine and urea nitrogen.

Even though we adopted propensity score matching to adjust for differences in baseline characteristics and disease severity, there may still have been bias in the form of confounders that were not measured.

We used multivariable logistic regression analysis and propensity-score matching to adjust for possible confounders.

Propensity score matching aims to adjust the selection bias in nonexperimental, nonrandomized, and retrospective observational studies.

Although we performed a propensity score matched analysis to adjust for these potential confounding factors, we could not correct for unmeasured variables.

Recently, a large, population-based Canadian study (not included in the meta-analysis) similarly compared renal recovery among survivors of severe AKI according to the initial RRT modality and included a propensity matched analysis to adjust for treatment allocation [ 6].

The purpose of history matching is to adjust any uncertain parameters involved in the simulation workflow to force the numerical production responses to reproduce as well as possible the production data collected at wells.

We modify the frequently used best match average approach to adjust perfect matches to contribute less to the final score if they are not informative, and more if they are.