| rankinma-package {rankinma} | R Documentation |
rankinma: Rank in Network Meta-Analysis
Description
rankinma is an R package that supports users to easily obtain and visualize various metrics of treatment ranking from network meta-analysis no matter using either frequentist or Bayesian approach. Development of package rankinma is based on R version 4.2.2 (2022-10-31 ucrt). Extra imported packages are as follows:
Details
Current version consists of seven functions, including two functions for
data preparation (function GetMetrics and SetMetrics)
and five functions for visualization of treatment ranking metrics (i.e.
PlotBeads, PlotLine, PlotBar,
PlotHeat, and PlotSpie). Probabilities of treatments
on each possible rank can be visualized using PlotLine and PlotBar.
Due to concise information, PlotBeads is recommended to be used for
global metrics of treatment ranking, such as P-score and SUCRA. The other four
visualization functions can also generate graphics of the global metrics.
References
Salanti, G., Ades, A. E., & Ioannidis, J. P. (2011). Graphical methods and numerical summaries for presenting results from multiple-treatment meta-analysis: an overview and tutorial. Journal of clinical epidemiology, 64(2), 163-171.
Chaimani, A., Higgins, J. P., Mavridis, D., Spyridonos, P., & Salanti, G. (2013). Graphical tools for network meta-analysis in STATA. PloS one, 8(10), e76654.
Van Valkenhoef, G., Tervonen, T., Zwinkels, T., De Brock, B., & Hillege, H. (2013). ADDIS: a decision support system for evidence-based medicine. Decision Support Systems, 55(2), 459-475.
Rücker, G., & Schwarzer, G. (2015). Ranking treatments in frequentist network meta-analysis works without resampling methods. BMC medical research methodology, 15(1), 1-9.
Daly, C. H., Mbuagbaw, L., Thabane, L., Straus, S. E., & Hamid, J. S. (2020). Spie charts for quantifying treatment effectiveness and safety in multiple outcome network meta-analysis: a proof-of-concept study. BMC Medical Research Methodology, 20, 1-13.
Balduzzi, S., Rücker, G., Nikolakopoulou, A., Papakonstantinou, T., Salanti, G., Efthimiou, O., & Schwarzer, G. (2023). netmeta: An R package for network meta-analysis using frequentist methods. Journal of Statistical Software, 106, 1-40.