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Table 5 Complete case bootstrap model selection results for the outcome measure persistent pain intensity

From: The search for stable prognostic models in multiple imputed data sets

Ā 

most frequently selected models

rank

Predictors

1

2

3

4

5

B

CCA

longer duration of complaints

X

X

X

X

X

1

3

concomitant lower back pain

X

X

X

X

X

2

2

both shoulders afflicted

X

X

-

X

X

3

4

concomitant upper extremity pain

X

X

X

-

-

4

6

shoulder complaints in the past year

X

-

X

X

-

5

-

sporting injury*

Ā Ā Ā Ā Ā 

-

1

inability to perform daily activities*

Ā Ā Ā Ā Ā 

-

5

sporting activities*

Ā Ā Ā Ā Ā 

-

7

higher physical workload*

Ā Ā Ā Ā Ā 

-

8

Count

120

96

58

47

37

Ā Ā 

%

24.0

19.2

11.6

9.4

7.4

Ā Ā 
  1. *Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā - predictors that appeared in ā‰„ 40% in the first step of the of the bootstrap model selection are not used in the second step in model selection
  2. rankĀ Ā Ā Ā Ā Ā Ā Ā - the order of appearance of predictors in the derived models arranged by their predictive ability (regression coefficient estimates)
  3. BĀ Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā - the complete case date based bootstrap selected model (i.e. the most frequently occurring combination of predictors in 500 replicate data sets of the second bootstrap model selection step)
  4. CCAĀ Ā Ā Ā Ā Ā Ā Ā - the complete case data based model derived without additional bootstrap did not occur in the bootstrap model selection since some of the included predictors occurred ā‰„ 40% in the first selection step
  5. CountĀ Ā Ā Ā Ā - the number of times the model was selected in the 500 replicate data sets of the second bootstrap model selection step