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Table 7 Type I error, power and coverage probability for the inconsistency test in a ‘typical’ loop of evidence

From: Characteristics of a loop of evidence that affect detection and estimation of inconsistency: a simulation study

 

Type I error

Power

Coverage probability

 

IF = 0

IF = 0.3

IF = 0.45

IF = 0.6

IF = 1

IF = 0

IF = 0.3

IF = 0.45

IF = 0.6

IF = 1

 

All-cause mortality outcome (median (Ï„2) = 0.02)

IVDL

0.05

0.14

0.23

0.38

0.75

0.95

0.97

0.99

0.98

0.95

KHDL

0.11

0.21

0.32

0.46

0.78

0.89

0.94

0.93

0.92

0.90

 

Subjective outcome (median (Ï„2) = 0.11)

IVDL

0.07

0.14

0.23

0.34

0.63

0.94

0.96

0.96

0.97

0.95

KHDL

0.12

0.20

0.29

0.41

0.65

0.88

0.93

0.93

0.92

0.91

  1. We assume a dichotomous frequent outcome, number of trials (K) per comparison KAB = 1, KAC = 4, KBC = 3 and the sample size per arm is drown from n ~ U(120, 160). IF: inconsistency factor, IVDL: inverse variance method with the DerSimonian and Laird estimator, KHDL: Knapp-Hartung method with the DerSimonian and Laird estimator.