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Table 3 Regression results of stratified models

From: Effects of health intervention programs and arsenic exposure on child mortality from acute lower respiratory infections in rural Bangladesh

 

β

SE

p

Treatment area

   

Negative binomial model

   

 Arsenic (100 µg/L)

0.010

0.042

0.807

 High socioeconomic status

−0.348

0.140

0.013

 Cost distance to clinica

0.125

0.147

0.396

 (Intercept)

−4.777

0.195

0.000

 Log(theta)

0.674

0.559

0.228

Zero-inflated model

   

 Arsenic (100 µg/L)

−2.921

2.742

0.287

 High socioeconomic status

0.502

1.677

0.765

 Cost distance to Clinic1

1.945

1.488

0.191

 (Intercept)

−3.214

1.405

0.022

N

3251

  

Comparison area

   

Negative binomial model

   

 Arsenic (100 µg/L)

0.008

0.022

0.702

 High socioeconomic status

−0.302

0.090

0.001

 Cost distance to clinica

−0.151

0.058

0.010

 (Intercept)

−4.306

0.084

0.000

 Log (theta)

2.807

1.815

0.122

Zero-inflated model

   

 Arsenic (100 µg/L)

−1.686

3.006

0.575

 High Socioeconomic Status

−1.310

1.712

0.444

 Cost Distance to Clinica

−5.137

3.003

0.087

 (Intercept)

−8.242

2.693

0.002

N

3442

  
  1. Zero-inflated negative binomial regression analysis of bari-level acute lower respiratory infection (ALRI) mortality rates in children under 2 years of age in Matlab, Bangladesh, 1989–1996 by treatment versus comparison area. Data source: icddr,b Matlab Health and Demographic Surveillance System
  2. aCentered to the mean and scaled by the standard deviation