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In selecting a given matching estimator, a matching estimator which balances all explanatory variables (i.e. results in non-significant mean differences between the two groups) bears a low R 2 value and also results in a large matched sample size which is preferable.
Fig. 1 Covariate imbalance (assessed by standardized mean differences) between the two groups of patients receiving and not receiving early HC in the unweighted (original) and weighted populations Fig. 2 Cumulative incidence of ventilator-associated pneumonia in the inverse probability of treatment weighting analysis.
Table 1 shows estimated mean differences between the two groups after linear regression adjustment for age, gender and post mortem interval.
Third, latent mean differences between the two groups were tested.
This is expressed in Fig. 2 where the mean differences between the two groups are shown.
Third, when the measurement invariance was established, the latent mean differences between the two groups were assessed.
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The results indicate a significant mean difference between the two groups.
Mean difference between the two groups was 0.7 with no correlation between shortening of the clavicle and the clinical outcome.
It is the standardized mean difference between the two groups.
For each resampling, the mean difference between the two groups was calculated.
The mean difference between the two groups was 0.6 (95% confidence interval = 0.18 to 1.03).
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mean differences between the two measurements
mean differences between the two measures
mean changes between the two groups
mean differences between the two methods
mean differences between the two studies
mean differences between the two drugs
mean differences between the two devices
mean distances between the two groups
mean differences between the two assessments
mean differences between the two pairs
mean differences between the two axes
mean differences between the two variables
mean levels between the two groups
mean ICPs between the two groups
mean differences between the two regimens
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Justyna Jupowicz-Kozak
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