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Table 1 Performance assessments of direct estimation and multiple imputation under misspecification of the missing data mechanism based on 100 simulated data sets with 16 genes and 6 replicates per dataset

From: Multiple imputation and direct estimation for qPCR data with non-detects

 

Direct estimation

Multiple imputation

Bias

MSE

Bias

MSE

 

Logit

\(\theta\)

− 0.024

0.003

0.025

0.072

0.114

0.156

− 0.024

0.003

0.023

0.072

0.114

0.155

\(\sigma ^2_\theta\)

− 0.001

0.000

0.000

0.000

0.001

0.001

0.020

− 0.001

0.014

0.000

0.001

0.004

 

Probit

\(\theta\)

− 0.022

0.003

0.024

0.071

0.114

0.153

− 0.024

−  0.003

0.023

0.072

0.113

0.155

\(\sigma ^2_\theta\)

− 0.002

−  0.001

0.000

0.000

0.001

0.001

− 0.020

−  0.001

 0.014

0.000

0.001

0.004

 

Cloglog

\(\theta\)

− 0.025

0.003

0.026

0.007

0.114

0.156

− 0.025

0.002

0.022

0.072

0.114

0.156

\(\sigma ^2_\theta\)

− 0.001

0.000

0.000

0.000

0.001

0.001

− 0.022

0.000

0.014

0.000

0.001

0.004

  1. The 25th (left), 50th (center), and 75th (right) quantiles of the bias and mean squared error (MSE) are reported