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Table 3 Recurrent event time models with varying baseline and order-specific coefficient effects, from the additive and multiplicative hazards models.

From: Additive and multiplicative hazards modeling for recurrent event data analysis

Model

Order

Covariate

Estimate

S.E

Chi-square

p-value

Additive Hazards Model

1

Gender #

-0.103

0.06

2.96

0.085

  

Race/ethnicity &

0.068

0.036

3.66

0.056

  

Age

0.004

0.005

0.60

0.439

  

Parent @

0.063

0.034

6.70

0.065

 

2

Gender

-0.202

0.067

9.13

0.003

  

Race/ethnicity

0.038

0.051

0.55

0.457

  

Age

0.015

0.005

7.94

0.005

  

Parent

0.028

0.049

0.33

0.567

 

3

Gender

-0.181

0.053

11.7

0.001

  

Race/ethnicity

0.003

0.078

0.002

0.967

  

Age

0.011

0.008

1.92

0.165

  

Parent

-0.025

0.046

0.30

0.583

 

4

Gender

-0.158

0.013

2.65

0.103

  

Race/ethnicity

0.068

0.121

0.32

0.571

  

Age

0.021

0.013

2.65

0.104

  

Parent

-0.075

0.088

0.73

0.394

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Multiplicative Hazards Model

1

Gender

-0.464

0.179

7.36

0.007

  

Race/ethnicity

0.391

0.175

5.05

0.025

  

Age

0.021

0.021

1.15

0.285

  

Parent

0.347

0.144

5.99

0.014

 

2

Gender

-0.864

0.235

15.7

< 0.0001

  

Race/ethnicity

0.185

0.262

0.45

0.505

  

Age

0.078

0.029

6.33

0.012

  

Parent

0.112

0.215

0.31

0.577

 

3

Gender

-0.747

0.25

8.21

0.004

  

Race/ethnicity

0.085

0.445

0.04

0.842

  

Age

0.051

0.047

1.03

0.309

  

Parent

-0.138

0.248

0.29

0.589

 

4

Gender

-0.732

0.28

5.44

0.02

  

Race/ethnicity

0.357

0.469

0.48

0.49

  

Age

0.103

0.073

1.71

0.191

  

Parent

-0.31

0.323

0.89

0.345

  1. Estimation of regression coefficients, "robust" standard errors (S.E.), chi-square, and p-values.
  2. * guardian ≡ 1 if subject had parents or a single parent as guardian(s), and 0 if otherwise.
  3. &race/ethnicity ≡ 1 if subject is Black and 0 if otherwise.
  4. # gender ≡ 1 if subject is male and 0 if otherwise.