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Table 1 Investigated simulation scenarios

From: Statistical model building: Background “knowledge” based on inappropriate preselection causes misspecification

Scenario Sample size in prior Variable selection used in prior study
  study    
  n1 n2 n3  
S1_a 200 200 200 Univariable selection with p=0.05
S1_b     Univariable selection with p=0.2
S1_c     Backward Elimination with AIC
S2_a 500 500 500 Univariable selection with p=0.05
S2_b     Univariable selection with p=0.2
S2_c     Backward Elimination with AIC
S3_a 2000 2000 2000 Univariable selection with p=0.05
S3_b     Univariable selection with p=0.2
S3_c     Backward Elimination with AIC
S4_a 200 200 500 Univariable selection with p=0.05
S4_b     Univariable selection with p=0.2
S4_c     Backward Elimination with AIC
S5_a 200 500 500 Univariable selection with p=0.05
S5_b     Univariable selection with p=0.2
S5_c     Backward Elimination with AIC
S6_a 200 500 2000 Univariable selection with p=0.05
S6_b     Univariable selection with p=0.2
S6_c     Backward Elimination with AIC
S7_a 200 200 2000 Univariable selection with p=0.05
S7_b     Univariable selection with p=0.2
S7_c     Backward Elimination with AIC
S8_a 500 500 2000 Univariable selection with p=0.05
S8_b     Univariable selection with p=0.2
S8_c     Backward Elimination with AIC
S9_a 200 2000 2000 Univariable selection with p=0.05
S9_b     Univariable selection with p=0.2
S9_c     Backward Elimination with AIC
S10_a 500 2000 2000 Univariable selection with p=0.05
S10_b     Univariable selection with p=0.2
S10_c     Backward Elimination with AIC
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BMC Medical Research Methodology

ISSN: 1471-2288

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