Skip to main content
. Author manuscript; available in PMC: 2017 May 6.
Published in final edited form as: Stat Methods Med Res. 2015 Nov 6;26(6):2853–2868. doi: 10.1177/0962280215611702

Table 2.

Meta-analysis results for the first two examples.

Example Model Measure Effect
type
Estimate 95% CI τ^ BoS %
(equation (12))
BoSrRV%
(equation (16))
Hypertension Uni SBP MD −10.16 (−12.06, −8.27) 2.68     –
(section 5.1) Uni DBP MD   −4.58 (−5.59, −3.57) 1.47     –
Uni CVD HR     0.78 (0.69, 0.89) 0.00     –
Uni Stroke HR     0.68 (0.59, 0.79) 0.00     –
Multi SBP MD −10.22 (−12.14, −8.30) 2.73 0.9%   −2.4%
Multi DBP MD   −4.63 (−5.67, −3.60) 1.51 0.5%   −5.1%
Multi CVD HR     0.79 (0.69, 0.91) 0.05 4.2%   −8.3%
Multi Stroke HR     0.73 (0.61, 0.87) 0.14 20.8% −57.2%
Fibrinogen Uni Part HR     1.41 (1.33, 1.49) 0.10     –
(section 5.2) Uni Full HR     1.31 (1.22, 1.42) 0.07     –
Multi Part HR     1.41 (1.33, 1.50) 0.11 1.9%   −8.4%
Multi Full HR     1.31 (1.25, 1.38) 0.07 53.3%   53.1%

‘Uni’ indicates that the results are obtained from univariate meta-analyses and ‘Multi’ indicates that the results are obtained from multivariate meta-analyses. ‘MD’ denotes mean difference and ‘HR’ denotes hazard ratio. Analyses were performed on the mean difference and log hazard ratios scales; τ^ is the estimated between-study standard deviation on the mean difference and log hazard ratio scales and the BoS statistics are also on these scales. The estimated between study correlations in the multivariate meta-analysis for example one are (SBP, DBP): 0.79, (SBP, CVD): −0.31 (SBP, Stroke): −0.53 (DBP, CVD): −0.83 (DBP, Stroke): −0.94, (CVD, Stroke): 0.97. The estimated between-study correlation in the multivariate meta-analysis for example two is 1.

SBP:systolic blood pressure; SBP: systolic blood pressure; CVD: cardiovascular disease; Part: partially adjusted effect of fibrinogen level; Full: fully adjusted effect of fibrinogen level.