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Treatment comparisons for decision making: facing the problems of sparse and few data

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Publication details

JournalJournal of the Royal Statistical Society: Series A (Statistics in Society)
DateE-pub ahead of print - 23 Apr 2013
DatePublished (current) - Jan 2014
Issue number1
Volume177
Number of pages21
Pages (from-to)259-279
Early online date23/04/13
Original languageEnglish

Abstract

Advanced evidence synthesis techniques such as indirect or mixed treatment comparisons (MTCs) provide powerful analytic tools to inform decision making. In some cases, however, existing research is limited in quantity and/or existing research data is ‘sparse’. In this paper we demonstrate how modelling assumptions in evidence synthesis can be explored in the face of limited and sparse data using an example where estimates of relative treatment effects were required in a synthesis of the available evidence regarding treatments for grade 3 or 4 pressure ulcers.

    Research areas

  • evidence synthesis, elicited evidence, MIXED TREATMENT COMPARISONS, Network meta-analysis, observational studies, RCT evidence, Sparse data

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