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Table 2 Performance assessments of direct estimation and multiple imputation for varying number of replicates based on 100 simulated data sets

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

 

Direct estimation

Multiple imputation

Bias

MSE

Bias

MSE

 

k=4

\(\theta\)

− 0.024

0.005

0.031

0.112

0.171

0.225

− 0.024

0.004

0.029

0.113

0.170

0.232

\(\sigma ^2_\theta\)

− 0.002

0.000

0.003

0.001

0.003

0.006

− 0.045

−  0.019

0.030

0.001

0.002

0.005

 

k=6

\(\theta\)

− 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

− 0.02

−  0.001

0.014

0.000

0.001

0.004

 

k=10

\(\theta\)

− 0.014

0.003

0.020

0.044

0.069

0.089

− 0.015

0.002

0.017

0.044

0.069

0.090

\(\sigma ^2_\theta\)

0.000

0.000

0.001

0.000

0.000

0.000

− 0.008

0.003

0.024

0.000

0.000

0.002

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