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In the econometric part, we used propensity score matching and endogenous switching regression models to quantify important empirical results.
To account for some of those limitations we used propensity score matching correcting for relevant baseline characteristics.
We used propensity scores matching techniques to assess the association between maternal cocaine abuse in pregnancy and the occurrence of placenta-associated syndromes (PAS).
We used propensity score matching to balance the overall distribution of the groups [27].
We used propensity score matching to overcome this problem.
We used propensity scoring to control for selection bias.
A secondary analysis used propensity score matching to replicate covariate adjustment in regression models.
In order to decrease this bias, we used propensity score matching techniques [ 22].
We used propensity score matching to compare the effects of palliative resection.
We used propensity score matching (Ratio = 1 5) to balancing the patients and general population.
We used propensity scores to construct the demographically matched control cohort.
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