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Table 6 Imputed 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

MI-5+B

MI-5

sporting injury

X

X

X

X

X

1

1

longer duration of complaints

X

X

X

X

X

2

2

concomitant lower back pain

X

X

X

X

X

3

3

both shoulders afflicted

X

X

X

X

X

4

4

inability to perform daily activities

X

X

X

X

X

5

5

higher level of education

X

X

X

-

X

6

-

shoulder complaints in the past year

X

X

-

-

X

7

-

concomitant upper extremity pain

X

-

X

X

X

8

6

higher physical workload

X

X

X

-

X

9

-

Count

163

158

113

111

105

Ā Ā 

%

6.5

6.3

4.5

4.4

4.2

Ā Ā 
  1. *Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā Ā - only those predictors that appeared in ā‰„40% of the first bootstrap model selection step are presented
  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. MI-5+BĀ Ā Ā Ā - the multiple imputation based bootstrap selected model (i.e. the most frequently occurring combination of predictors in 2500 replicate data sets of the second bootstrap model selection step)
  4. MI-5Ā Ā Ā Ā Ā Ā Ā Ā - the multiple imputation based model using 5 imputed data sets was the fourth most occurring combination of predictors in the bootstrap model selection procedure.
  5. CountĀ Ā Ā Ā Ā Ā - the number of times the model was selected in the 2500 replicate data sets of the second bootstrap model selection step
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BMC Medical Research Methodology

ISSN: 1471-2288

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