Interpreting epidemiological evidence: how meta-analysis and causal inference methods are related

Interpreting epidemiological evidence: how meta-analysis and causal inference methods are related.

Interpreting observational epidemiological evidence can involve both the quantitative method of meta-analysis and the qualitative criteria-based method of causal inference. The relationships between these two methods are examined in terms of the capacity of meta-analysis to contribute to causal claims, with special emphasis on the most commonly used causal criteria: consistency, strength of ass...

Matching Methods for Causal Inference

Causal inference in studies and medical articles

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Epidemiological methods to tackle causal questions.

It is a dull day when there is not at least one media report of a claim that research has identified some new environmental cause of disease. Such claimed causes concern a wide range of supposed hazards including medical interventions such as the measlesmumps-rubella (MMR) vaccine, the thimerasol (mercury) preservative in other vaccines, dietary factors of many different kinds (coffee, alcohol,...

How Are Statistical Methods for Geometric Inference Justified?

This paper investigates the meaning of “statistical methods” for geometric inference based on image feature points. Tracing back the origin of feature uncertainty to image processing operations for computer vision in general, we discuss implications of asymptotic analysis in reference to “geometric fitting” and “geometric model selection”. For the latter, we point out the prominent characterist...