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Table 2 Results of the type III F test (with Kenward-Roger adjustment for degrees of freedom) for the fixed effects of the mixed models

From: Dealing with the heterogeneous presentations of freezing of gait: how reliable are the freezing index and heart rate for freezing detection?

 

Model 1.a: FI ~ type*time + trigger*time + DT*time + (1|participant)

Model 1.b: heart rate ~ type*time + trigger*time + DT*time + (1│participant) + (1|trial)

 

F

Df

Df.res

p value

F

Df

Df.res

p value

(Intercept)

136.63

1

30

 < 0.001*

1248.09

1

14

 < 0.001*

Time

24.18

2

1106

 < 0.001*

5.64

2

746

0.004*

Trigger

5.90

1

1112

0.015*

8.45

1

439

0.004*

Type

0.00

1

1114

0.992

3.12

1

430

0.078

DT

12.12

2

1106

 < 0.001*

7.96

2

447

 < 0.001*

Time*type

0.83

2

1106

0.435

1.40

2

746

0.246

Time*trigger

1.03

2

1106

0.356

1.42

2

746

0.241

Time*DT

3.09

4

1106

0.015*

3.11

4

746

0.015*

 

Model 2.a: FI ~ type*condition + trigger*condition + DT*condition + (1│participant)

Model 2.b: heart rate change ~ type*condition + trigger*condition + DT*condition + (1|participant)

 

F

Df

Df.res

p value

F

Df

Df.res

p value

(Intercept)

347.30

1

28

 < 0.001*

2.65

1

464

0.104

Condition

91.30

2

2095

 < 0.001*

54.07

2

2091

 < 0.001*

Trigger

0.60

1

2096

0.439

3.23

1

2096

0.073

DT

0.64

2

2094

0.528

5.74

2

2103

0.003*

Type

0.02

1

2097

0.888

2.20

1

2062

0.138

Condition*trigger

47.47

2

2094

 < 0.001*

3.83

2

2101

0.022*

Condition*DT

2.06

4

2093

0.084

3.28

4

2101

0.011*

Condition*type

0.58

2

2095

0.558

2.28

2

2092

0.102

  1. *p < 0.05; F F values, Df degrees of freedom, Df.res residual degrees of freedom, FI freezing index, DT dual-task