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Table 1 Description of 24 simulation experiments where the response variable is distributed according a beta distribution with the following mean and dispersion parameters in each respective group (or alternatively parameterized in terms of its two shape parameters – p and q – in each group)

From: A Monte Carlo simulation study comparing linear regression, beta regression, variable-dispersion beta regression and fractional logit regression at recovering average difference measures in a two sample design

 

μ0

φ 0

μ1

φ 1

p0

q0

p1

q1

Type-1 error experiments

0.50

5

0.50

5

2.5

2.5

2.5

2.5

 

0.50

5

0.50

10

2.5

2.5

5

5

 

0.50

100

0.50

100

50

50

50

50

 

0.50

100

0.50

200

50

50

100

100

 

0.25

5

0.25

5

1.25

3.75

1.25

3.75

 

0.25

5

0.25

10

1.25

3.75

2.50

7.50

 

0.25

100

0.25

100

25

75

25

75

 

0.25

100

0.25

200

25

75

50

150

 

0.05

5

0.05

5

0.25

4.75

0.25

4.75

 

0.05

5

0.05

10

0.25

4.75

0.50

9.50

 

0.05

100

0.05

100

5

95

5

95

 

0.05

100

0.05

200

5

95

10

190

Power experiments

0.5

5

0.525

5

2.5

2.5

2.625

2.375

 

0.5

5

0.525

10

2.5

2.5

5.25

4.75

 

0.5

100

0.525

100

50

50

52.5

47.5

 

0.5

100

0.525

200

50

50

105

95

 

0.25

5

0.275

5

1.25

3.75

1.375

3.625

 

0.25

5

0.275

10

1.25

3.75

2.75

7.25

 

0.25

100

0.275

100

25

75

27.5

62.5

 

0.25

100

0.275

200

25

75

55

145

 

0.05

5

0.075

5

0.25

4.75

0.375

4.625

 

0.05

5

0.075

10

0.25

4.75

0.75

9.25

 

0.05

100

0.075

100

5

95

7.5

92.5

 

0.05

100

0.075

200

5

95

15

185