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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