Meanings of use propensity in anglès

We use propensity score matching to construct a matching sample and difference-in-differences method to estimate the impact of bereavement on mental health and self-assessed health.

We used propensity score modeling to create matching cohorts for each analysis.

These relations were also observed when we used propensity matched cohort analyses.

Differences were estimated with adjustment for known prognostic factors using propensity scores.

After adjustment using propensity scores, differences in downstream referral rates were maintained.

Using propensity scoring, two equal cohorts were generated using matching parameters, i.e.

We aimed to compare access-related complications and survival using propensity score matching.

Patients with and without cancer were matched across baseline characteristics using propensity-scores.

To resolve the class imbalance problem, sampling was performed using propensity score matching.

We used propensity score matching to account for potential confounding characteristics of hospices.

Patient, clinician, and hospital-level factors were accounted for using propensity score weighting methods.

Clinical outcome was compared in 200 pairs using propensity score matching.

Immediate treatment strategies and inhospital outcomes were compared between groups using propensity score matching.

Hazard ratios comparing risk of uveitis between drugs were calculated using propensity-adjusted Cox regression.

We used propensity score matching and sensitivity analyses to address confounding and hospital-level clustering.

Outcomes were assessed using propensity score matching and multivariable regression.