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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

  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   
% 6.5 6.3 4.5 4.4 4.2   
  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 the fourth most occurring combination of predictors in the bootstrap model selection procedure.
  5. Count      - the number of times the model was selected in the 2500 replicate data sets of the second bootstrap model selection step