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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