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Table 3 Multivariable analysis using the Log logistic-Gamma shared frailty model, EDHS 2016

From: Analyzing factors associated with time to age at first marriage among women in Ethiopia: log logistic-gamma shared frailty model

Covariate

Coeff

St.err

P-value

ϕ

Constant

2.757132

0.014421

 ≤ 0.001

15.75

Residence

    

Urban(ref)

    

Rural

− 0.0331585

0.0097971

 ≤ 0.001

0.9673852

Education level

    

No education(ref)

1

   

Primary

0.0330889

0.005878

 ≤ 0.001

1.0336424

Secondary

0.1684082

0.0131558

 ≤ 0.001

1.1834196

Higher

0.281212

0.0163527

 ≤ 0.001

1.3247344

Religion

    

Orthodox(ref)

    

Catholic

0.046315

0.0227856

0.042

1.0474043

Protestant

0.0524916

0.0081184

 ≤ 0.001

1.0538937

Muslim

0.0524736

0.0064776

 ≤ 0.001

1.0538747

Others

0.0647476

0.0185256

 ≤ 0.001

1.0668897

Wealth index

    

Poorest(ref)

    

Poorer

− 0.0099705

0.0072415

0.169

0.9900790

Middle

− 0.014243

0.0074423

0.056

0.9858580

Richer

− 0.0299688

0.0075612

 ≤ 0.001

0.9704758

Richest

− 0.0528073

0.0107207

 ≤ 0.001

0.9485628

Head education

    

No education(ref)

    

Primary

0.0154898

0.0055625

0.005

1.0156104

Secondary

0.02867

0.010067

0.004

1.0290849

Higher

0.04283

0.0140958

0.002

1.0437604

Work status

    

No(ref)

    

Yes

− 0.0046146

0.0049996

0.356

0.9953960

Access to media

    

No(ref)

    

Yes

− 0.0003079

0.0057177

0.957

0.9996921

Head occupation

    

Agriculturalist(ref)

    

Professional

− 0.0078202

0.0126729

0.537

0.9922103

Laborers

0.0195623

0.0099795

0.050

1.0197549

Business

0.0117877

0.0085707

0.169

1.0118574

Others

− 0.0065789

0.009861

0.505

0.9934427

Random effects

γ = 0.131, θ = 0.088, τ = 4.2%

  1. P value  = P value for Likelihood-ratio test of theta = θ at chi-square with 0 and 1 degrees of freedom, θ = theta (variance of random terms), τ = Kendaell’s tau, Coeff = Coefficient of factors, St.err = Standard error of coefficient, ϕ = Odds Ratio
  2. Bold values indicate to make the identification of included covariates in the study simple for readers and to easily distinguish the significant covariates