Skip to main content

Table 3 Combustible cigarette regression coefficients, standard errors, t statistics, and p values

From: Effect of Massachusetts House Bill No. 4196 on electronic cigarette use: a mixed-methods study

  Coefficient Standard error t statistic p value
Baseline
 GBA
  Level − 1.260115 1.855424 − 0.68 0.498
  Trend − 0.2084171 0.1424893 − 1.46 0.146
 USA
  Level − 7.223334 1.684262 − 4.29 0.000*
  Trend − 0.1965167 0.1554116 − 1.26 0.208
After EVALI
 GBA
  Level change − 3.081916 1.843995 − 1.67 0.097
  Trend change 0.2512693 0.2184791 1.15 0.252
 USA
  Level change 3.209894 1.221976 2.63 0.010*
  Trend change 0.0570767 0.2734974 0.21 0.835
After mass ban
 GBA
  Level change 2.278667 1.824167 1.25 0.214
  Trend change − 0.0303285 0.2785707 − 0.11 0.913
 USA
  Level change 1.288095 0.874842 1.47 0.143
  Trend change 0.6289722 0.3434625 1.83 0.069
After ban ended
 GBA
  Level change − 1.300539 1.978937 − 0.66 0.512
  Trend change 0.1918814 0.237574 0.81 0.421
 USA
  Level change − 1.455614 1.241793 − 1.17 0.243
  Trend change − 0.3225095 0.4276565 − 0.75 0.452
After COVID-19
 GBA
  Level change − 4.319313 4.899213 − 0.88 0.380
  Trend change 0.4127087 0.6795817 0.61 0.545
 USA
  Level change − 11.23393 3.299207 − 3.41 0.001*
  Trend change 0.7737937 0.4751412 1.63 0.106
After tax
 GBA
  Level change − 13.61722 3.55943 − 3.83 0.000*
  Trend change − 0.4348779 0.687841 − 0.63 0.528
 USA
  Level change − 0.5232736 1.81891 − 0.29 0.774
  Trend change − 1.124816 0.4704655 − 2.39 0.018*
  1. Regression coefficients for the level and trend changes in cigarette purchasing in the Greater Boston area and the USA at the baseline and after the four intervention points, along with the standard error, t statistics, and p values corresponding to each value. Asterisks (*) indicate significance at p < 0.05