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Table 4 Simulation results: estimations of bias and mean squared error for the log-logistic model

From: Estimating time-to-onset of adverse drug reactions from spontaneous reporting databases

      

Naive estimator

 

TBE

     

λ ̂

 

β ̂

 

λ ̂

 

β ̂

 

λ

β

p

n

BIAS

MSE

BIAS

MSE

BIAS

MSE

BIAS

MSE

NPM

0.05

0.5

0.25

100

6.45

44

0.384

0.16

0.258

0.25

0.041

0.008

217

   

500

6.33

40

0.372

0.14

0.043

0.01

0.005

0.001

52

0.05

0.5

0.50

100

1.05

1.2

0.319

0.108

0.045

0.012

0.020

0.006

22

   

500

1.02

1.1

0.308

0.096

0.009

0.001

0.003

0.001

0

0.05

0.5

0.80

100

0.165

0.031

0.195

0.041

0.008

0.001

0.008

0.004

0

   

500

0.158

0.026

0.189

0.036

0.001

<0.001

0.001

<0.001

0

1

0.5

0.25

100

129

17533

0.383

0.15

5.06

87

0.042

0.008

207

   

500

127

16217

0.374

0.14

1.01

6

0.008

0.001

41

1

0.5

0.50

100

21.0

467

0.317

0.106

0.93

5.0

0.019

0.006

43

   

500

20.5

426

0.308

0.096

0.20

0.6

0.004

0.001

0

1

0.5

0.80

100

3.31

12

0.201

0.044

0.209

0.55

0.016

0.005

0

   

500

3.17

10

0.190

0.037

0.037

0.09

0.002

<0.001

0

0.05

2

0.25

100

0.150

0.022

1.06

1.2

<0.001

0.001

0.08

0.085

4

   

500

0.149

0.022

1.04

1.1

-0.001

<0.001

0.01

0.018

0

0.05

2

0.50

100

0.079

0.006

0.932

0.94

<0.001

<0.001

0.06

0.094

5

   

500

0.078

0.006

0.903

0.83

<0.001

<0.001

0.01

0.017

0

0.05

2

0.80

100

0.035

0.001

0.665

0.50

<0.001

<0.001

0.03

0.078

0

   

500

0.035

0.001

0.649

0.43

<0.001

<0.001

0.01

0.013

0

1

2

0.25

100

2.99

9.0

1.07

1.2

0.024

0.57

0.08

0.089

0

   

500

2.98

8.9

1.04

1.1

-0.028

0.20

0.01

0.020

0

1

2

0.50

100

1.57

2.49

0.943

0.96

0.007

0.19

0.063

0.095

1

   

500

1.56

2.45

0.896

0.82

-0.013

0.04

0.004

0.018

0

1

2

0.80

100

0.702

0.50

0.668

0.50

0.004

0.042

0.045

0.072

0

   

500

0.693

0.48

0.648

0.43

0.004

0.007

0.015

0.013

0

  1. The mean squared error formula is MSE( λ ̂ )=Var( λ ̂ )+ ( BIAS ( λ ̂ ) ) 2 . Calculations were made on the replications where there was no problem of maximization. In the last column appear the number of problems of maximization for the truncation-based approach. There was no problem of maximization for the naive approach. Abbreviations : TBE truncation-based estimator, MSE mean squared error, NPM number of maximization problems.