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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