[R-meta] Meta Analysis with HR values

[Guido Schwarzer]

Dear Awais,

Survival data using the hazard ratio as effect measure are typically 
meta-analysed using the inverse variance method. The following general R 
packages for meta-analysis provide this method: *epiR*, *meta*, 
*metafor*, *rmeta* (see 
https://cran.r-project.org/web/views/MetaAnalysis.html).

The inverse variance method needs, for each study, the _log_ hazard 
ratio and its standard error as input. You write that you have hazard 
ratios and CIs which is sufficient as standard errors can be calculated 
from CIs (see Parmar et al., 1999).

Please find attached R code using R package *meta* which conducts a 
meta-analysis for survival data from a Cochrane review I was involved. 
Note, the minor differences in the results of the two meta-analyses can 
be explained by rounding hazard ratios and confidence limits to only two 
significant digits; we would get identical results with more significant 
digits.

Best wishes, Guido

Reference: Parmar MK, Torri V, Stewart L. Extracting summary statistics 
to perform meta-analyses of the published literature for survival 
endpoints. Statistics in Medicine. 1998;17(24):2815–34.

-- 
Dr. Guido Schwarzer
Institute of Medical Biometry and Statistics,
Faculty of Medicine and Medical Center - University of Freiburg

Postal address: Stefan-Meier-Str. 26, D-79104 Freiburg

Phone: +49/761/203-6668
Mail: sc using imbi.uni-freiburg.de
Homepage: http://www.imbi.uni-freiburg.de


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