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Table 4 Application to real data: for the LOGIT model two cut-off points were used, median for Cytokine 1 and DL for Cytokine 2

From: Evaluation of regression methods when immunological measurements are constrained by detection limits

  Methods β ^ MathType@MTEF@5@5@+=feaagaart1ev2aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacPC6xNi=xH8viVGI8Gi=hEeeu0xXdbba9frFj0xb9qqpG0dXdb9aspeI8k8fiI+fsY=rqGqVepae9pg0db9vqaiVgFr0xfr=xfr=xc9adbaqaaeGaciGaaiaabeqaaeqabiWaaaGcbaGafqOSdiMbaKaaaaa@2D86@ (Slope) SE( β ^ MathType@MTEF@5@5@+=feaagaart1ev2aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacPC6xNi=xH8viVGI8Gi=hEeeu0xXdbba9frFj0xb9qqpG0dXdb9aspeI8k8fiI+fsY=rqGqVepae9pg0db9vqaiVgFr0xfr=xfr=xc9adbaqaaeGaciGaaiaabeqaaeqabiWaaaGcbaGafqOSdiMbaKaaaaa@2D86@ ) β ^ MathType@MTEF@5@5@+=feaagaart1ev2aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacPC6xNi=xH8viVGI8Gi=hEeeu0xXdbba9frFj0xb9qqpG0dXdb9aspeI8k8fiI+fsY=rqGqVepae9pg0db9vqaiVgFr0xfr=xfr=xc9adbaqaaeGaciGaaiaabeqaaeqabiWaaaGcbaGafqOSdiMbaKaaaaa@2D86@ SE( β ^ MathType@MTEF@5@5@+=feaagaart1ev2aaatCvAUfKttLearuWrP9MDH5MBPbIqV92AaeXatLxBI9gBaebbnrfifHhDYfgasaacPC6xNi=xH8viVGI8Gi=hEeeu0xXdbba9frFj0xb9qqpG0dXdb9aspeI8k8fiI+fsY=rqGqVepae9pg0db9vqaiVgFr0xfr=xfr=xc9adbaqaaeGaciGaaiaabeqaaeqabiWaaaGcbaGafqOSdiMbaKaaaaa@2D86@ ) p-value
Cytokine 1 Standard methods     
  Deletion 0.012 0.042 0.277 0.782
  Substitution of 0 -0.255 0.055 -4.645 < 0.0001
  Substitution of DL/2 -0.186 0.047 -3.951 0.0001
  Substitution of DL -0.117 0.040 -2.879 0.005
  LOGIT (Median) -0.198 0.139 -1.423 0.155
  Advanced methods     
  ROS -0.085 0.039 -2.184 0.030
  TOBIT -0.190 0.048 -3.960 0.00008
  MI -0.149 0.046 -3.264 0.0006
Cytokine 2 Standard methods     
  Deletion 0.801 0.129 6.193 < 0.0001
  Substitution of 0 0.585 0.1101 5.311 < 0.0001
  Substitution of DL/2 0.545 0.093 5.842 < 0.0001
  Substitution of DL 0.504 0.079 6.418 < 0.0001
  LOGIT (DL) 0.208 0.113 1.841 0.066
  Advanced methods     
  ROS 0.497 0.081 6.135 < 0.0001
  TOBIT 0.792 0.179 4.436 < 0.0001
  MI 0.550 0.127 4.322 < 0.0001