[R-meta] Impact of very high tau-square value.
j|deogbu @end|ng |rom y@hoo@com
Mon Jul 1 17:37:30 CEST 2019
Thanks for the feedback and the insight into the tau-value.
My response is incidence rate and measured per 10000 person per day.
On Wednesday, June 26, 2019, 02:28:23 AM PDT, Guido Schwarzer <sc using imbi.uni-freiburg.de> wrote:
Dear Jide Ogbu,
It is not possible to give any specific advice on your dataset as you do
not provide sufficient information. So, I will make some general comments.
A plethora of methods to estimate tau-squared is available (Veroniki et
al., 2016) and they can give different estimates; see argument 'method'
Furthermore, whether a tau-squared value of 32.8 is large depends on the
outcome measure (and for some outcomes on the underlying metric). This
value could be judged to be small if you are interested in a mean
difference - depending on your metric. However, if your outcome measure
is a standardized mean difference or a log odds ratio a tau-squared
value of 32.8 would be very extreme.
Best wishes, Guido
Veroniki AA, Jackson D, Viechtbauer W, Bender R, Bowden J, Knapp G, et
al. Methods to estimate the between-study variance and its uncertainty
in meta-analysis. Research Synthesis Methods. 2016;7:55–79.
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