[R-meta] meta-analysis of 0 events in one or both arms
|rene@b|ghe||| @end|ng |rom tum@de
Fri Apr 3 10:15:56 CEST 2020
I am dealing with meta-analysis and network meta-analysis of dichotomous data where the number of event in one or both arms is = 0. I would like to find a way to include these studies in the analysis, without applying a continuity correction. Is it possible?
I know there are different ways to deal with this,
in metabin: I understand that a continuity correction is applied by default (https://cran.r-project.org/web/packages/meta/meta.pdf page 60-62<https://cran.r-project.org/web/packages/meta/meta.pdf%20page%2060-62>): "For studies with a zero cell count, by default, 0.5 is added to all cell frequencies of these studies; if incr is "TACC" a treatment arm continuity correction is used instead (Sweeting et al., 2004; Diamond et al., 2007). For odds ratio and risk ratio, treatment estimates and standard errors are only calculated for studies with zero or all events in both groups if allstudies is TRUE." Does it mean that with allstudies=TRUE only studies with zero events are counted, and the ones with some events excluded?
in netmeta: I read in the manual of the pairwise function (https://cran.r-project.org/web/packages/netmeta/netmeta.pdf), where the argument "allstudies=TRUE" allows to include in the calculations such studies ("A logical indicating if studies with zero or all events in two treatment arms are to be included in the meta-analysis"). However, I was not able to find a description of how this works, and whether it applies a continuity correction.
Thanks a lot in advance for your help,
Irene Bighelli PhD
Technical University of Munich | School of Medicine | Klinikum rechts der Isar
Department of Psychiatry and Psychotherapy
Section for Evidence Based Medicine in Psychiatry
Ismaningerstr. 22, 81675 M�nchen, Germany
Mail: irene.bighelli using tum.de<mailto:irene.bighelli using tum.de>
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