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Table 2 Results of the balancing check for the generalized propensity score (GPS)

From: Assessing short-term impact of PM10 on mortality using a semiparametric generalized propensity score approach

CovariateClass of exposureMarginal tGPS-adjusted t
Temperature (lag 0-3)(0, 20)5.60-2.57
 [20, 40)14.151.68
 [40, 70)-0.39-0.26
 [70+)-20.78-3.00
Influenza epidemics(0, 20)-2.80-0.44
 [20, 40)-7.47-2.87
 [40, 70)1.323.43
 [70+)8.920.47
Summer indicator(0, 20)7.93-2.19
 [20, 40)14.302.39
 [40, 70)-3.09-0.77
 [70+)-18.46-2.48
Holidays indicator(0, 20)1.91-0.07
 [20, 40)0.02-0.05
 [40, 70)-2.74-2.81
 [70+)1.972.58
Humidity (lag 0)(0, 20)-5.78-0.13
 [20, 40)-5.911.05
 [40, 70)-0.15-2.78
 [70+)10.691.78
Weekend indicator(0, 20)4.922.27
 [20, 40)1.79-1.33
 [40, 70)-1.39-1.13
 [70+)-3.350.64
Heat episodes(0, 20)-2.25-0.96
 [20, 40)1.77-0.15
 [40, 70)3.482.43
 [70+)-4.73-1.99
  1. Marginal and GPS-adjusted t statistics for the mean difference between one class of exposure and the others as a whole, for a set of selected covariates