Table 3 Estimates of parameters for under-5 mortality using Cox Proportional Hazard Model & Weibull Model (Adjusted)

Contraceptive use:

  Non user (Ref:)

-

-

-

-

-

  Modern method

0.659 [0.473, 0.919]

0.657 [0.470, 0.910]

0.0010***

0.0010***

0.9978

  Non-user but intend to use

1.502 [1.069, 2.109]

1.524 [1.085, 2.141]

0.0188*

0.0160*

0.9985

Mother’s education level:

  No education (Ref:)

-

-

-

-

-

  Primary/secondary

0.928 [0.642, 1.340]

0.913 [0.632, 1.319]

0.6887

0.6270

0.9985

  Higher

0.613 [0.364, 1.033]

0.602 [0.358, 1.014]

0.0658^•

0.0580^•

0.9957

Mother’s age:

  15–19 (Ref:)

-

-

-

-

-

  20–49

0.283 [0.204, 0.395]

0.302 [0.217, 0.419]

 < 0.0001***

 < 0.0001***

0.9927

Media:

  No (Ref:)

-

-

-

-

-

  Yes

0.962 [0.748, 1.238]

0.973 [0.757, 1.251]

0.7653

0.8310

0.9954

Wealth quintile:

  Low (Ref:)

-

-

-

-

-

  Middle

1.021 [0.752, 1.385]

1.016 [0.749, 1.378]

0.8964

0.9190

0.9974

  High

0.795 [0.659, 1.213]

0.793 [0.659, 1.209]

0.0674^•

0.0670^•

0.9957

Residence:

  Rural (Ref:)

-

-

-

-

-

  Urban

0.879 [0.614, 1.015]

0.894 [0.618, 1.021]

0.6049

0.7030

0.9955

Working status:

  No (Ref:)

-

-

-

-

-

  Yes

1.035 [0.826, 1.297]

1.054 [0.840, 1.321]

0.7658

0.6510

0.9931

Religion:

  Islam (Ref:)

-

-

-

-

-

  Others

1.360 [0.957, 1.933]

1.373 [0.967, 1.949]

0.8061

0.7070

0.9982

Birth order:

  First birth (Ref:)

-

-

-

-

-

  Others

1.209 [0.944, 1.551]

1.215 [0.948, 1.558]

0.1334

0.124

0.9996

Sex of child:

  Male (Ref:)

-

-

-

-

-

  Female

0.846 [0.686, 1.044]

0.862 [0.699, 1.063]

0.1182

0.1650

0.9972

Water sources:

  Piped (Ref:)

-

-

-

-

-

  Tube well

0.742 [0.619, 1.654]

0.734 [0.608, 1.624]

0.0409*

0.0421*

1.0002

  Others

0.705 [0.692, 2.099]

0.702 [0.686, 2.079]

0.0419*

0.0431*

0.9991

Division:

  Barisal (Ref:)

-

-

-

-

-

  Chittagong

0.705 [0.465, 1.067]

0.697 [0.461, 1.055]

0.0984^•

0.0890^•

0.9974

  Dhaka

0.891 [0.582, 1.363]

0.878 [0.575, 1.345]

0.5936

0.5520

0.9992

  Khulna

0.708 [0.442, 1.132]

0.718 [0.449, 1.149]

0.0149*

0.0168*

0.9993

  Mymensingh

0.668 [0.423, 1.054]

0.684 [0.434, 1.079]

0.0831^•

0.1040^•

0.9994

  Rajshahi

0.917 [0.587, 1.435]

0.892 [0.570, 1.395]

0.7056

0.6150

0.9997

  Rangpur

0.769 [0.489, 1.206]

0.782 [0.498, 1.226]

0.2526

0.2840

0.9987

  Sylhet

0.953 [0.638, 1.422]

0.952 [0.638, 1.420]

0.8119

0.8090

0.9985