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The expected recruitment bias was controlled by building a sample of patients matched for propensity score.
Cox regression was used to estimate hazard ratios of cardiovascular events in analyses matched for propensity score.
We carried out an observational retrospective cohort study, matched for propensity score, linking primary care medical records to data from national mandatory Swedish registries.
Patients who had undergone THA during the period from 1998 to 2010 were recruited, matched for propensity scores, and divided into 2 groups: early rehabilitation (Early Rehab) and delayed rehabilitation (Delayed Rehab).
Tables 1 and 2 show participants' characteristics matched for propensity score at the time of start of treatment; the two groups were well balanced on demographic characteristics, medical history, drug use, and healthcare use.
Consequently, we cannot completely rule out the possibility that clinical practice on the ICU tends to select patients with the highest likelihood of survival for tracheostomy, although we matched for propensity scores, adjusted for potential confounders and performed a sensitivity analysis in which even more stringent propensity score matching was employed that yielded the same results.
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Design Observational retrospective pairwise cohort study matched (1 1) for propensity score.
The results were consistent after matching for the propensity score of performing tracheostomy.
To match samples for propensity score analysis we used the SAS macro OneToManyMTCH with 8-digit to 1-digit match without replacement.
Using a greedy matching algorithm for propensity matching on the propensity scores from the logistic regression model, covariates were more similar between risk groups within the matched pair subsample, thus reducing the impact of selection in the subsample.
Additional file 2 illustrates the baseline characteristics after propensity matching for patients with multiple risk-factors.
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