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Table 2 The estimated marginal parameters (\( \hat {\beta } \)), standard errors (SE), and p-values, 95% CI for regression parameters, and IDR under MPois-Pois mixture model on number of ANC visits during a pregnancy, BDHS 2017

From: Does dropout from school matter in taking antenatal care visits among women in Bangladesh? An application of marginalized poisson-poisson mixture model

 

\( \hat {\beta } \)

SE

z-value

p-value

95% CI

IDR

Intercept

1.359

0.042

32.708

<0.001

-

3.893

Study continuity status

Continued after marriage (ref)

      

Not continued but had ≥10 years schooling

-0.112

0.030

-3.755

<0.001

-0.171- -0.053

0.894

Drop-outed

-0.225

0.026

-8.679

<0.001

-0.276- -0.174

0.798

Place of residence

Rural (ref)

      

Urban

0.113

0.021

5.457

<0.001

0.072-0.154

1.120

Exposed to media

No (ref)

      

Yes

0.218

0.022

10.072

<0.001

0.175-0.261

1.243

Mother’s age at birth (years)

<20

-0.080

0.025

-3.226

0.001

-0.129- -0.031

0.923

20-29 (ref)

      

≥30

0.052

0.031

1.691

0.091

-0.009- 0.113

1.053

Difference between husband and wife age (years)

Non-positive

0.228

0.098

2.328

0.020

0.036-0.420

1.256

1-5 (ref)

      

6-10

-0.002

0.021

-0.110

0.913

-0.043- 0.039

0.998

>10

0.011

0.025

0.432

0.666

-0.038- 0.060

1.011

Number of decisions woman participated

None (ref)

      

1-2

0.002

0.029

0.079

0.937

-0.055- 0.059

1.002

All 3

0.021

0.027

0.781

0.435

-0.032- 0.074

1.021

Number of reasons wife beating justified

Not at all (ref)

      

1-2

-0.126

0.028

-4.535

<0.001

-0.181- -0.071

0.881

3-5

-0.128

0.057

-2.221

0.026

-0.240- -0.016

0.880

Wealth index

Poor (ref)

      

Middle

0.129

0.025

5.082

<0.001

0.080-0.178

1.138

Rich

0.216

0.029

7.338

<0.001

0.159-0.273

1.241

Birth Order

1 (ref)

      

2

-0.075

0.024

-3.140

0.002

-0.122- -0.028

0.928

3

-0.116

0.032

-3.601

<0.001

-0.179- -0.053

0.891

≥4

-0.369

0.043

-8.492

<0.001

-0.453- -0.285

0.691

Mixing Proportion

\(\hat {\pi }\)

0.610

0.049

12.472

<0.001

-

-