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Table 1 Covariates balance before and after matching, Milan, Italy, 2003–2006

From: Assessing the short term impact of air pollution on mortality: a matching approach

 

Mean/Proportion

Standardized differenced

Background characteristic

Treated (n = 812)

Controls (n = 649)

Matched Controls (n = 649)

Pre-matching

Post-matching

% Biase

Estimated propensity score

0.756

0.306

0.756

1.810

0

100.0

Temperature (°C)a

11.4

18.3

11.3

0.914

0.013

98.5

Relative humidity (%)

66.8

58.6

67.1

0.456

0.014

97.0

Saturdays and Sunday

0.243

0.341

0.195

0.217

0.106

51.0

Day of year

-

-

-

405.5c

15.9c

96.1f

Influenza epidemics

0.128

0.009

0.054

0.483

0.315

34.7

Heat episodesb

0.032

0.028

0.025

0.001

0.002

−77.8

Summer days

0.225

0.664

0.252

0.037

0.002

93.8

  1. aTemperature: average temperature in the current and in the previous 3 days
  2. bHeat episodes: days with temperatures exceeding 28 °C. Summer days: from May 1st to September 30th
  3. cWheeler and Watson’s statistics (W) for the comparison of the distribution of the circular variable “day of the year” between treated and control units (pre-matching W) or between treated and matched controls (post-matching W)
  4. dStandardized difference: pre-matching (\( {\delta}^{pre} \)) and post-matching (\( {\delta}^{post} \))
  5. e% bias: \( 100\times \left({\delta}^{pre}-{\delta}^{post}\right)/{\delta}^{pre} \)
  6. fPercent reduction in the Wheeler and Watson’s statistics after matching