The use of continuous data versus binary data in MTC models: a case study in rheumatoid arthritis.
作者： Susanne Schmitz , Roisin Adams , Cathal Walsh
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摘要: Background Estimates of relative efficacy between alternative treatments are crucial for decision making in health care. When sufficient head to evidence is not available Bayesian mixed treatment comparison models provide a powerful methodology obtain such estimates. While can be fit broad range measures, this paper illustrates the advantages using continuous outcome measures compared binary measures.
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