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Table 1 Over 500 datasets, average of the complete case estimates, joint modelling imputation estimates and values of β ̄ b , β ̄ c and | β ̄ b - β ̄ c | for the chained equations algorithm and the modified chained equations algorithm, with confidence intervals [mean ± 1 . 96 × (standard deviation ÷ 500)]

From: Joint modelling rationale for chained equations

β

β ̂ CCA

β ̂ JM

 

β ̄ b

β ̄ c

| β ̄ b - β ̄ c |

1

1 · 01

0 · 97

LR

0 · 98

0 · 98

0 · 0040

 

[0 · 93,1 · 09]

[0 · 89,1 · 05]

 

[0 · 90,1 · 06]

[0 · 90,1 · 06]

[0 · 0034,0 · 0046]

   

LDA

0 · 97

0 · 97

0 · 0022

    

[0 · 89,1 · 05]

[0 · 89,1 · 05]

[0 · 0020,0 · 0024]

3

3 · 00

2 · 90

LR

2 · 93

2 · 93

0 · 0166

 

[2 · 91,3 · 09]

[2 · 82,2 · 98]

 

[2 · 85,3 · 02]

[2 · 85,3v· 02]

[0 · 0145,0 · 0188]

   

LDA

2 · 89

2 · 89

0 · 0067

    

[2 · 81,2 · 98]

[2 · 81,2 · 97]

[0 · 0062,0 · 0073]

  1.  complete case analysis estimate of β from the observed data only;
  2.  estimate of β from joint modelling imputation;
  3. logistic regression;
  4. ¶ linear discriminant analysis.