R package for analysing composite responder endpoints in rheumatology with up to two continuous and one binary components.

Install from Github using devtools::install_github("martinamcm/augbin_rheum")

Implementation as a Shiny app with further documentation on functionality and examples available at AugBin

Function augbinrheum is used to conduct the analysis with the following arguments:

• data Data with columns ordered as follows: patient ID, treatment arm, continuous outcome(s), binary outcome followed by the baseline continuous measure(s)
• cts Number of continuous outcomes in the composite which can be 1 or 2. Defaults to 1.
• bin Number of binary outcomes in the composite which can be 1 or 0. Defaults to 1.
• dichot Responder threshold in each of the continuous outcomes. For one continuous outcome input as ‘d1’ and for two continuous outcomes input as ‘c(d1,d2)’

McMenamin M, Grayling MJ, Berglind A, Wason JMS. Increasing power in the analysis of responder endpoints in rheumatology: a software tutorial. medRxiv. 2020. doi: 10.1101/2020.07.28.20163378

McMenamin M, Barrett JK, Berglind A, Wason JM. Employing a latent variable framework to improve efficiency in composite endpoint analysis. Statistical Methods in Medical Research. 2021;30(3):702-716. doi: 10.1177/0962280220970986