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Table 1 E-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 4.140104 3.051848 1.36 0.177
  Trend − 1.373532 0.2321417 − 5.92 0.000*
 USA
  Level 95.65063 3.482517 27.47 0.000*
  Trend − 1.295596 0.3823137 − 3.39 0.001*
After EVALI
 GBA
  Level change − 0.8664863 4.936645 − 0.18 0.861
  Trend change 0.7472639 0.6716606 1.11 0.268
 USA
  Level change 3.427075 4.571001 0.75 0.455
  Trend change − 1.770607 0.9661419 − 1.83 0.069
After mass ban
 GBA
  Level change − 14.18386 6.428874 − 2.21 0.029*
  Trend change − 1.189679 0.941033 − 1.26 0.208
 USA
  Level change 0.1329325 7.218978 0.02 0.985
  Trend change 2.631157 1.278143 2.06 0.042*
After ban ended
 GBA
  Level change − 0.0827453 4.759094 − 0.02 0.986
  Trend change 2.808323 0.6655645 4.22 0.000*
 USA
  Level change − 3.341619 2.741816 − 1.22 0.225
  Trend change 0.0170775 1.126806 0.02 0.988
After COVID− 19
 GBA
  Level change 6.271158 4.28192 1.46 0.145
  Trend change − 0.7918229 0.7104741 − 1.11 0.267
USA
  Level change − 1.653717 3.959569 − 0.42 0.677
  Trend change − 0.3092617 0.8731348 − 0.35 0.724
After tax
 GBA
  Level change 0.5203217 3.957587 0.13 0.896
  Trend change 0.9910441 0.7555539 1.31 0.192
 USA
  Level change 2.519472 3.075552 0.82 0.414
  Trend change − 1.39879 0.8390774 − 1.67 0.098
  1. Regression coefficients for the level and trend changes in e-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