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Table 2 Estimates from the longitudinal hypothermia data

From: Modeling repeated ordinal responses using a family of power transformations: application to neonatal hypothermia data

 

Unknown λ

λ = 1

λ→0

Parameter

Est†

SE‡

P§

Est

SE

P

Est

SE

P

α 1 /Cutoff 1

2.932

0.256

_

4.212

0.308

_

3.611

0.235

_

α 2 /Cutoff 2

5.839

0.261

_

14.144

0.306

_

6.733

0.269

_

β 1 /Sex

0.118

0.126

0.346

0.585

0.562

0.298

0.230

0.206

0.264

β 2 /Weight

1.178

0.153

<0.001

3.005

0.773

<0.001

1.242

0.157

<0.001

β 3 /Gest Age #

0.351

0.174

0.044

1.224

0.654

0.061

0.249

0.112

0.025

β 4 /Env Temp*

2.976

0.501

<0.001

4.368

0.648

<0.001

2.247

0.511

<0.001

β 5 /Apgar1**

0.370

0.153

0.016

1.096

0.533

0.040

0.400

0.185

0.031

β 6 /Apgar5***

1.037

0.366

0.005

2.629

1.198

0.028

1.009

0.436

0.021

β 7 /Multi Preg $

0.802

0.352

0.023

1.659

0.805

0.039

0.776

0.336

0.021

β 8 /CPR

0.302

0.104

0.004

0.272

0.137

0.047

0.277

0.114

0.015

σ

3.584

0.395

<0.001

5.987

0.648

<0.001

3.977

0.410

<0.001

λ

0.031

0.013

0.020

_

_

_

_

_

_

-2log.likelihood

 

3882.6

  

3906.8

  

3889.5

 

AIC

 

3904.6

  

3928.8

  

3911.5

 

BIC

 

3972.7

  

3996.9

  

3979.6

 
  1. § p for two-sided p-value
  2. † Est for estimate of the model parameter
  3. ‡ Se for standard error of the estimate
  4. # Gest Age for gestational age of the neonate
  5. * Env Temp for environmental temperature
  6. ** Apgar1 for apgar score at the first minute after neonate's birth
  7. *** Apgar5 for apgar score five minutes after neonate's birth
  8. $ Multi Preg for multiple pregnancy
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BMC Medical Research Methodology

ISSN: 1471-2288

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