[R-meta] contour enhanced funnel plots when using function of sample size
Am 24.05.22 um 10:46 schrieb Brendan Hutchinson:
[...] My question is specifically whether there is a means of generating a contour enhanced funnel plot with pseudo confidence regions when using a function of sample size on the y axis. According to the R documentation, this isn't possible. I wanted to ask if anyone knew of any means to achieve this or perhaps a workaround (unless this is some inherent issue to the use of a function of sample size that I'm not seeing).
The sample size does not contain any information on the statistical significance of a study result. For example, for a binary outcome: > meta::metabin(1, 100, 2, 100)$pval [1] 0.5688381 > meta::metabin(25, 100, 50, 100)$pval [1] 0.0005287824 Both studies have a total sample size of 200, however, depending on the number of events, the studies have very different p-values. The same argument can be made for a continuous outcome, studies with the same sample sizes and mean values can have very different standard deviations leading to different p-values. Best, Guido
Dr. Guido Schwarzer Institute of Medical Biometry and Statistics, Faculty of Medicine and Medical Center - University of Freiburg Postal address: Zinkmattenstr. 6a, D-79108 Freiburg Mail: sc at imbi.uni-freiburg.de Homepage: https://www.imbi.uni-freiburg.de/ ORCID iD: https://orcid.org/0000-0001-6214-9087 R-book: https://www.springer.com/gp/book/9783319214153