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Table 7 Imputed bootstrap model selection results for the outcome measure persistent disability

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

concomitant lower back pain

X

X

X

X

X

1

1

longer duration of complaints

X

X

X

X

-

2

2

both shoulders afflicted

X

X

X

X

X

3

3

inability to perform daily activities

X

X

X

-

X

4

4

higher scores for somatisation

X

X

X

X

X

5

5

higher scores for external locus of control

X

X

X

X

X

6

6

more disability at baseline

X

X

X

X

X

7

7

older age

X

X

-

X

X

8

8

shoulder complaints in the past year

-

X

X

-

X

-

-

concomitant lower extremity pain

-

-

-

-

-

-

-

Count

91

77

56

54

52

Ā Ā 

%

3.6

3.1

2.2

2.2

2.1

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 also the most frequently occurring combination of predictors in the 2500 bootstrap replicate data sets
  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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