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Table 2 Numerical details of different methods to be used in the imputation analyses

From: Impact of missing participant data for dichotomous outcomes on pooled effect estimates in systematic reviews: a protocol for a methodological study

Analytic method

Intervention arm

Control arm

 

Numerator

Denominator

Numerator

Denominator

Complete (available) case analysis

c

a - b

g

e - f

None has event

c

a

g

e

All had event

b + c

a

f + g

e

Best case scenario

c

a

f + g

e

Worst case scenario

b + c

a

g

e

Using the concept of RILTFU/FU

[b x y x c/(a - b)] + c

a

[f x z x g/(e - f)] + g

e

Incidence for missing participants same as observed in same arma

[b x c/(a - b)] + c

a

[f x g/(e - f)] + g

e

Incidence for missing participants in both arms same as observed in control arm

[b x g/(e - f)] + c

a

[f x g/(e - f) ] + g

e

  1. Refer to Table 1 for what values letters a-g refer to y and z refer to RILTFU/FU in the intervention and control arm, respectively[8].
  2. aThis is a special case of RILTFU/FU method where y = z = 1.