The Copas adjustment method allows users to perform a sensitivity analysis in order to estimate the impact of outcome reporting bias on their review meta-analyses. The method can be applied to both benefit and harm outcomes and is the current method of adjustment that is recommended by the ORBIT team. The method is currently implementable for binary outcome data but the study team are working on other data types for the future.
To implement the method, follow the 10 easy steps below. The functions require a specific .csv input file - an example template for a review of Epilepsy can be downloaded which can be easily amended to apply to other examples. The Epilepsy example had 12 studies included in the analysis and 14 outcomes (2 benefits outcomes and 12 harms). The number of studies (rows) and outcomes (columns) can be added or deleted depending on the specific example. Each outcome has two columns (the number of events for the treatment group and the number of events for the comparator group)
To download the example template please click here
The website will then display the unadjusted and adjusted estimates for each outcome, separated by whether they were declared as a benefit or harm outcome. As a check, unadjusted estimates will typically match those produced by statistical packages or RevMan provided the method of estimation selected is comparable.