Closed ymzhang-neo closed 6 years ago
Dear ymzhang-neo,
R function metabin() calculates the Q statistic for heterogeneity (and thus the DerSimonian-Laird estimate of between-study variance) like RevMan 5.3 (http://community.cochrane.org/help/tools-and-software/revman-5), the software used for preparing and maintaining Cochrane Reviews.
You can find the respective formulae in the manuscript Statistical algorithms in Review Manager 5 Jonathan J Deeks and Julian PT Higgins on behalf of the Statistical Methods Group of The Cochrane Collaboration August 2010 which is available in RevMan 5.3 (menu: Help - Statistical Algorithms in RevMan).
At the moment, this information is not available in the help page of metabin(), however, I will add it with the next update of meta on CRAN.
Best wishes, Guido
Hi Guido,
I am new to meta-analysis and your package has been of great help!
Pardon me for creating this issue about the code as well as the understanding of the DerSimonian-Laird method for the random effects model in the analysis of binary data.
Consider the following illustrative code:
The Q statistics of heterogeneity are different because the methods for the fixed effect model are different. The DerSimonian-Laird estimates of tau-squared are also different.
I imagine this is because the respective Q statistic from the fixed effect method is directly used in the tau-squared estimation. However, in the original paper by DerSimonian and Laird (1986), they suggested using Q from the inverse-variance method. In two other reference (Normand 1999; Borenstein, Hedges, Higgins, and Rothstein 2009), the Q from the inverse-variance method was the only option.
Could you provide some clarification about your choice (with possibly some references)? My apologies for any misunderstanding. Thank you for consideration!
References: