Table 1 Values of parameters in the simulations
From: On the Q statistic with constant weights in meta-analysis of binary outcomes
Parameter | Equal study sizes | Unequal study sizes |
|---|---|---|
K (number of studies) | 5, 10, 30 | |
n or \(\bar{n}\) (average (individual) study size — | 20, 40, 100, 250 | 30 (12,16,18,20,84), |
total of the two arms) | 60 (24,32,36,40,168), | |
For \(K = 10\) and \(K = 30\), the same set of unequal | 100 (64,72,76,80,208), | |
study sizes is used twice or six times, respectively. | 160 (124,132,136,140,268) | |
f (proportion of observations in the control arm) | 1/2 | |
\(p_{iC}\) (probability in the control arm) | .1, .2, .5 | |
\(\theta\) (true value of LOR) | 0, 0.1, 0.5, 1, 1.5, 2 | |
\(\tau ^{2}\) (variance of random effects for LOR) | 0(0.1)1 | |
\(\rho\) (fixed value of LRR) | ||
For \(p_{iC} = .1\) or .2 | \(-0.5\), 0, 0.5, 1, 1.5 | |
For \(p_{iC} = .5\) | \(-1.5\), \(-1\), \(-0.5\), 0, 0.5 | |
\(p_T\) (fixed probability in the treatment arm) | ||
for RD (and for RR), | ||
when \(p_{iC} = .1\) | .06, .10, .16, .27, .45 | |
when \(p_{iC} = .2\) | .12, .20, .33, .54, .90 | |
when \(p_{iC} = .5\) | .11, .18, .30, .50, .82 | |