[R-meta] Impact of very high tau-square value.

jideofor thomas j|deogbu @end|ng |rom y@hoo@com
Mon Jul 1 17:37:30 CEST 2019

 Dear Guido,
Thanks for the feedback and the insight into the tau-value.
My response is incidence rate  and measured per 10000 person per day.
regards,Thomas Ogbu
    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' 
in metafor.

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.

	[[alternative HTML version deleted]]

More information about the R-sig-meta-analysis mailing list