A Causal Inference Approach to Network Meta-Analysis
نویسندگان
چکیده
منابع مشابه
The Deductive Approach to Causal Inference∗
This paper reviews concepts, principles, and tools that have led to a coherent mathematical theory that unifies the graphical, structural, and potential outcome approaches to causal inference. The theory provides solutions to a number of pending problems in causal analysis, including questions of confounding control, policy analysis, mediation, missing data, and the integration of data from div...
متن کاملSupplement to - A Bayesian Approach to Constraint Based Causal Inference
This article contains additional results and proofs related to §3.3 ‘Unfaithful inference: DAGs vs. MAGs’ in the UAI-2012 submission ‘A Bayesian Approach to Constraint Based Causal Inference’. This final version after feedback includes detailed proofs for Lemma 3/4, and added inference rules for indirect dependence in §2. The discussion of causal inference from optimal uDAGs in section three ha...
متن کاملSupplement to - A Bayesian Approach to Constraint Based Causal Inference
This article contains additional results and proofs related to §3.3 ‘Unfaithful inference: DAGs vs. MAGs’ in the UAI-2012 submission ‘A Bayesian Approach to Constraint Based Causal Inference’. It has three main parts: section one defines causaland graphical model terminology used throughout the supplement. Section two relates to the mapping from uDAGs to logical causal statements; much of this ...
متن کاملA Bayesian Approach to Constraint Based Causal Inference
We target the problem of accuracy and robustness in causal inference from finite data sets. Some state-of-the-art algorithms produce clear output complete with solid theoretical guarantees but are susceptible to propagating erroneous decisions, while others are very adept at handling and representing uncertainty, but need to rely on undesirable assumptions. Our aim is to combine the inherent ro...
متن کاملA weight of evidence approach to causal inference.
OBJECTIVE The Bradford Hill criteria are the best available criteria for causal inference. However, there is no information on how the criteria should be weighed and they cannot be combined into one probability estimate for causality. Our objective is to provide an empirical basis for weighing the Bradford Hill criteria and to develop a transparent method to estimate the probability for causali...
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ژورنال
عنوان ژورنال: Journal of Causal Inference
سال: 2016
ISSN: 2193-3685,2193-3677
DOI: 10.1515/jci-2016-0014