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Table 2 Summary of parameter estimates obtained after multiple imputation of simulated missing data

From: Estimating range of influence in case of missing spatial data: a simulation study on binary data

Data 1

N

Intercept (SD)

RMeSE 2

Covariate 3 (SD)

RMeSE 2

σ 2 (SD)

RMeSE 2

Range 4 (SD)

RMeSE 1

MCAR

         

5%

998

-4.3 (0.32)

0.046

0.62 (0.053)

0.0095

0.49 (0.22)

0.031

13.2 (5.3)

1.0

10%

998

-4.3 (0.33)

0.071

0.62 (0.055)

0.015

0.49 (0.23)

0.042

13.4 (5.5)

1.4

15%

998

-4.3 (0.33)

0.090

0.62 (0.057)

0.019

0.48 (0.23)

0.055

13.3 (5.8)

1.6

25%

997

-4.3 (0.35)

0.12

0.63 (0.060)

0.025

0.46 (0.24)

0.077

13.2 (6.0)

2.1

50%5

924

-4.3 (0.38)

0.22

0.62 (0.066)

0.042

0.40 (0.28)

0.13

15.1 (9.2)

3.6

75%5

571

-4.2 (0.39)

0.37

0.62 (0.069)

0.069

0.44 (0.38)

0.18

15.2 (15.0)

4.2

MAR0 OR=1/3

         

5%

1000

-4.3 (0.32)

0.054

0.62 (0.053)

0.012

0.49 (0.22)

0.038

13.4 (5.4)

1.3

10%

1000

-4.3 (0.33)

0.091

0.64 (0.056)

0.021

0.47 (0.22)

0.047

13.1 (5.4)

1.3

15%

1000

-4.3 (0.33)

0.10

0.64 (0.057)

0.022

0.46 (0.23)

0.058

13.1 (5.6)

1.5

25%

1000

-4.3 (0.35)

0.13

0.64 (0.060)

0.026

0.46 (0.24)

0.064

13.9 (6.4)

2.4

50%5

990

-4.3 (0.37)

0.20

0.65 (0.064)

0.041

0.42 (0.25)

0.10

14.1 (7.4)

2.7

75%5

846

-4.3 (0.39)

0.31

0.65 (0.068)

0.060

0.41 (0.30)

0.14

15.0 (9.9)

3.6

MAR0 OR=3

         

5%

1000

-4.1 (0.33)

0.17

0.58 (0.056)

0.047

0.46 (0.24)

0.067

14.7 (6.7)

2.3

10%

1000

-4.2 (0.33)

0.084

0.61 (0.056)

0.018

0.47 (0.23)

0.051

13.5 (5.9)

1.6

15%

1000

-4.3 (0.33)

0.10

0.62 (0.057)

0.021

0.46 (0.25)

0.076

13.4 (6.2)

1.5

25%

986

-4.2 (0.34)

0.13

0.61 (0.059)

0.027

0.41 (0.27)

0.11

14.5 (7.3)

2.7

50%5

821

-4.0 (0.35)

0.25

0.58 (0.063)

0.047

0.36 (0.29)

0.15

14.9 (11.0)

3.8

75%5

536

-4.0 (0.37)

0.32

0.58 (0.067)

0.069

0.44 (0.52)

0.19

16.1 (20.3)

4.6

MAR1 OR=1/3

         

5%

1000

-4.8 (0.34)

0.48

0.72 (0.059)

0.096

0.50 (0.23)

0.033

12.6 (5.0)

1.1

10%

1000

-4.9 (0.38)

0.61

0.75 (0.065)

0.12

0.51 (0.24)

0.041

12.4 (5.1)

1.2

15%

1000

-5.1 (0.38)

0.85

0.79 (0.066)

0.17

0.52 (0.25)

0.052

12.1 (5.0)

1.5

25%

1000

-5.4 (0.40)

1.08

0.84 (0.071)

0.22

0.53 (0.26)

0.060

11.2 (4.7)

1.9

50%5

1000

-5.6 (0.45)

1.30

0.88 (0.080)

0.26

0.54 (0.29)

0.081

10.5 (4.6)

2.5

75%5

995

-5.8 (0.51)

1.52

0.93 (0.090)

0.30

0.52 (0.32)

0.093

10.5 (5.2)

2.8

MAR1 OR=3

         

5%

1000

-4.1 (0.33)

0.17

0.57 (0.055)

0.051

0.46 (0.24)

0.069

14.5 (6.7)

2.4

10%

990

-4.0 (0.33)

0.28

0.54 (0.057)

0.079

0.43 (0.25)

0.087

15.4 (8.0)

2.9

15%

934

-3.9 (0.33)

0.39

0.52 (0.058)

0.10

0.42 (0.26)

0.10

15.8 (8.7)

3.4

25%

880

-3.7 (0.34)

0.54

0.45 (0.058)

0.17

0.44 (0.30)

0.10

14.6 (8.0)

2.8

50%5

644

-3.4 (0.34)

0.85

0.36 (0.059)

0.26

0.46 (0.35)

0.14

15.7 (11.2)

3.7

75%5

566

-3.1 (0.33)

1.18

0.25 (0.062)

0.37

0.57 (0.50)

0.16

13.6 (12.6)

3.6

MNAR OR=1/3

         

5%

1000

-4.2 (0.31)

0.064

0.62 (0.052)

0.0087

0.49 (0.22)

0.026

13.2 (5.3)

0.9

10%

1000

-4.2 (0.32)

0.092

0.62 (0.053)

0.011

0.49 (0.22)

0.038

13.3 (5.3)

1.2

15%

1000

-4.1 (0.32)

0.17

0.62 (0.054)

0.015

0.48 (0.22)

0.045

13.4 (5.6)

1.4

25%

1000

-4.1 (0.33)

0.22

0.62 (0.056)

0.018

0.46 (0.23)

0.064

13.7 (6.0)

1.8

50%5

972

-3.7 (0.33)

0.62

0.60 (0.057)

0.033

0.40 (0.23)

0.12

14.7 (7.3)

2.8

75%5

727

-3.3 (0.34)

0.98

0.59 (0.061)

0.051

0.34 (0.24)

0.18

15.4 (10.1)

3.9

MNAR OR=3

         

5%

1000

-4.4 (0.32)

0.097

0.63 (0.055)

0.014

0.47 (0.22)

0.045

13.0 (5.3)

1.3

10%

1000

-4.5 (0.34)

0.18

0.63 (0.056)

0.023

0.49 (0.24)

0.057

13.6 (5.9)

1.8

15%

1000

-4.5 (0.40)

0.26

0.63 (0.061)

0.028

0.47 (0.25)

0.074

13.6 (6.3)

2.3

25%

983

-4.7 (0.40)

0.39

0.64 (0.067)

0.040

0.45 (0.29)

0.11

13.3 (7.0)

3.0

50%5

727

-5.0 (0.45)

0.46

0.64 (0.080)

0.046

0.50 (0.46)

0.14

13.9 (11.8)

3.6

75%5

485

-5.3 (0.55)

0.98

0.63 (0.096)

0.10

1.16 (5.5)

0.67

15.9 (27.3)

4.5

  1. 1Simulation scenarios described in the Methods section.
  2. 2Square root of the median of (est. incomplete data - est. complete data) 2.
  3. 3log(Herd size).
  4. 4Range of influence in km.
  5. 5Precision of prior distribution of hyperpar. changed from 0.001 to 0.1.
  6. All results are medians of N data sets.