Inclusion Of Multiple Studies In Matching Adjusted Indirect Comparisons (Maic)
نویسندگان
چکیده
منابع مشابه
Matching-adjusted indirect comparisons: a new tool for timely comparative effectiveness research.
OBJECTIVE In the absence of head-to-head randomized trials, indirect comparisons of treatments across separate trials can be performed. However, these analyses may be biased by cross-trial differences in patient populations, sensitivity to modeling assumptions, and differences in the definitions of outcome measures. The objective of this study was to demonstrate how incorporating individual pat...
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Standard methods for indirect comparisons and network meta-analysis are based on aggregate data, with the key assumption that there is no difference between the trials in the distribution of effect-modifying variables. Methods which relax this assumption are becoming increasingly common for submissions to reimbursement agencies, such as the National Institute for Health and Care Excellence (NIC...
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s A major limitation of making inference about treatment effect based on observational data from a non-randomized study designs is the treatment selection bias, in which the baseline characteristics of the population under one treatment could dramatically differ from the other one. If not handled properly, such sources of heterogeneity will introduce confounding effects into a causal-effect rel...
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Differences in patient characteristics across trials may bias efficacy estimates from indirect treatment comparisons. To address this issue, matching-adjusted indirect comparison (MAIC) measures treatment efficacy after weighting individual patient data to match patient characteristics across trials. To date, however, there is no consensus on how best to implement MAIC. To address this issue, w...
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Several multiple comparison procedures (MCPs) are discussed in relation to the specific formulation of type I and type II errors in toxicity studies and the typical one-way design control versus k treatment/dose groups. Examples for these MCPs are: the standard many-to-one MCP (Dunnett's procedure), sequential rejection modifications, closed testing procedures, many-to-one MCPs with an ordered ...
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ژورنال
عنوان ژورنال: Value in Health
سال: 2015
ISSN: 1098-3015
DOI: 10.1016/j.jval.2015.03.196