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Alternative situations that a model can generate
results for, as opposed to the default settings of the model.
A group of methods which try and test how reliable the results of a model are. This is done by making small changes to the model and measuring the effect on the results.
Systematic reviews aim to bring together the results of all studies addressing a particular research question that have been carried out around the world. They provide a comprehensive and unbiased summary of the research. For example, one clinical trial may not give a clear answer about the effectiveness of a treatment. This might be because the difference between the treatments being tested was very small, or because only a small number of people took part in the trial. So systematic reviews are used to bring the results of a number of similar trials together, to piece together and assess the quality of all the evidence. Combining the results from a number of trials may give a clearer picture.