The advent of big data has transformed the landscape of statistical science, demanding methods that can handle unprecedented volume, velocity and variety. Traditional inference techniques, designed ...
Our foray into causal analysis is not yet complete. Until we define the methods of causal inference, we can't get to the deeper insights that causal analysis can provide. This article details many of ...
Scientific ideas sometimes have to wait decades for technology to catch up. Statistical algorithms developed at the Yerevan ...
In the article that accompanies this editorial, Lu et al 5 conducted a systematic review on the use of instrumental variable (IV) methods in oncology comparative effectiveness research. The main ...
Functional data analysis (FDA) is the branch of statistics that treats individual observations as continuous functions, curves or surfaces rather than as finite-dimensional vectors. Central to FDA are ...
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