More reviews of simulation studies
A few that I had missed or forgotten
Tomorrow I’m really looking forward to attending and speaking at a symposium in Amsterdam, Time to Get Real! Using real-world data for health-economic outcomes research: are methods up to the task? This is the end symposium for a grant held by Prof. Judith Bosmans. I’ve previously mentioned one of the outputs of this project, a review of simulation studies by Anita Varga and colleagues, in this post. There I asked about other reviews of simulation studies I had missed. It turns out I’d missed one by the same team! A pre-print reporting a scoping review of simulation studies on handling missing data in real-world data.
With that preface, I’m very grateful to Julian Lange and Christina Sauer (both at LMU München) for the following list of articles I had either missed or forgotten!
Langan, D., Higgins, J. P. T., and Simmonds, M. (2017). Comparative performance of heterogeneity variance estimators in meta-analysis: a review of simulation studies. Research Synthesis Methods, 8:181-198.
Hinds, A. M., Sajobi, T. T., Sebille, V., Sawatzky, R., and Lix, L. M. (2018). A systematic review of the quality of reporting of simulation studies about methods for the analysis of complex longitudinal patient-reported outcomes data. Quality of Life Research, 27:2507-2516.
Zhang Y., Alyass A., Vanniyasingam T., et al. (2017). A systematic survey of the methods literature on the reporting quality and optimal methods of handling participants with missing outcome data for continuous outcomes in randomized controlled trials. Journal of Clinical Epidemiology, 88:67-80.
Smid, S. C., McNeish, D., Miočević, M., and van de Schoot, R. (2020). Bayesian Versus Frequentist Estimation for Structural Equation Models in Small Sample Contexts: A Systematic Review. Structural Equation Modeling: A Multidisciplinary Journal 27(1):131-161. (I think this is the only one that combines the results of the selected studies, summarizing them using boxplots.)
Fernández-Castilla, B., Jamshidi, L., Declercq, L., Beretvas, S. N., Onghena, P., and Van den Noortgate, W. (2020). The application of meta-analytic (multi-level) models with multiple random effects: A systematic review. Behavior Research Methods, 52:2031-2052. (The paper’s main review is not one of simulation studies but the paper does contain a comparison of a few simulation studies, see Table 1, and elaborates on how appropriate/realistic their parameter values are.)