Presenting simulation results in a nested loop plot.

ABSTRACT:

Background

Statisticians investigate new methods in simulations to evaluate their properties for future real data applications. Results are often presented in a number of figures, e.g., Trellis plots. We had conducted a simulation study on six statistical methods for estimating the treatment effect in binary outcome meta-analyses, where selection bias (e.g., publication bias) was suspected because of apparent funnel plot asymmetry. We varied five simulation parameters: true treatment effect, extent of selection, event proportion in control group, heterogeneity parameter, and number of studies in meta-analysis. In combination, this yielded a total number of 768 scenarios. To present all results using Trellis plots, 12 figures were needed.

Methods

Choosing bias as criterion of

SUBMITTER: Rucker G 

PROVIDER: S-EPMC4272778 | biostudies-literature | 2014 Dec

REPOSITORIES: biostudies-literature