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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

  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   
% 3.6 3.1 2.2 2.2 2.1   
  1. *             - only those predictors that appeared in ≥40% of the first bootstrap model selection step are presented
  2. rank        - the order of appearance of predictors in the derived models arranged by their predictive ability (regression coefficient estimates)
  3. MI-5+B    - 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-5        - 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. Count      - the number of times the model was selected in the 2500 replicate data sets of the second bootstrap model selection step.