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As discussed in e.g. Busso et al. (2013), IPW reweights the comparison observations using the estimated propensity score to implicitly create a comparison sample with the same distribution of observed characteristics as the treatment group.
The PS matching approach was originally developed in part to enhance the efficiency of sampling comparison observations to be included in the study sample over random sampling from a large pool of potential observations [43].
Heckman et al. (1998) emphasize that the quality of the match can be improved by ensuring that matches are formed only where the distribution of the density of the propensity scores overlap between treatment and comparison observations or where the propensity score densities have 'common support'.
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Of the 13 remaining participants in the prednisone group, 3 withdrew for lack of efficacy and 10 completed the 24-week "comparison" observation period (table 5).
Of the 15 remaining participants in the placebo group, 11 withdrew for lack of efficacy and 4 completed the 24-week "comparison" observation period (table 5).
Comparisons, observations, and conclusions are presented.
To validate the corrections and allow for comparisons, observations collected at 10 ground stations (CUT0、JFNG、GMSD、SIN1、SEYG、WROC、MAYG、REDU、REUN and KOUR) are used for SPP. The observation data are observed on May 2, 2015.
Due to subgrid variability and differences between the simulation and observation scale (the Digital Elevation Model pixel versus the point measurement), the point-to-point comparison between observations and simulations shows a poor correlation.
As the assessment of model skill was based on a comparison of observations and model predictions (described below), the approach was explicitly reliant on observational data.
A comparison with observations shows that the model captures the seasonality of DOC fluxes.
Fig. 11 Comparison with observations, two-ribbon flares and the EUV image.
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