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The early prediction methods have assumed that there should be a good and simple correlation between certain propensities and linear epitope residues, and attempted to predict linear epitopes through one or two propensities.
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We estimate this treatment effect using two propensity score matching estimators, a reweighting estimator based on the estimated propensity score and a genetic matching estimator.
Overall, the two propensity scoring techniques showed that the parameter estimates were consistent with those obtained by fitting with ordinary least squares approach.
The odds ratios based on the two propensity score methods described earlier are given in Table 4. Two things are worth pointing out about odds ratios listed in this table.
While there is large variation in these RCT results, to the extent that the average can be used as a 'benchmark', the ORs from the two propensity scores methods for 365 days mortality for London (0.72 or 0.74) and Dijon (0.70 or 0.76) compare well with this RCT average.
The two propensity models yielded concordant results.
Two propensity-matched cohorts were created based upon the type of isotonic crystalloid received.
The baseline characteristics of the two propensity-matched groups are shown in Table 3.
Table 4 shows the results of unadjusted comparisons and the two propensity score matched comparisons.
Table 2 summarizes the baseline characteristics of the two propensity score-matched groups.
The comparison of the two propensity-adjusted populations seems to show that the administration of PCC is also safe.
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