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Table 3 The proportions of simulations that having quasi-complete separation issues among their 1000 bootstraps

From: How to analyze work productivity loss due to health problems in randomized controlled trials? A simulation study

Distribution of productivity loss outcome

Number of observations in each arm

Number of quasi-complete separation detected in 1000 bootstraps

0

1–10

11–100

101–400

401–700

701–950

>  950

80:15:5/60:30:10

100

38.03

41.97

16.64

3.25

0.01

0.01

0.09

80:15:5/60:30:10

200

94.75

5.00

0.24

0.01

0

0

0

60:35:5/40:50:10

100

61.16

32.83

5.63

0.38

0

0

0

60:35:5/40:50:10

200

99.17

0.81

0.02

0

0

0

0

50:40:10/30:55:15

50

39.45

45.05

14.30

1.11

0.08

0.01

0

50:40:10/30:55:15

100

97.46

2.46

0.08

0

0

0

0

50:40:10/30:55:15

200

100

0

0

0

0

0

0

  1. Among 10000 simulations for each row: 5000 for equal scale and 5000 for unequal scale for the truncated negative binomial distributions of productivity loss outcomes in the two arms