Multivariate statistical inference encompasses techniques for analysing and drawing conclusions from data in which multiple interrelated variables are observed simultaneously. Unlike univariate ...

Statistical inference comprises the framework by which data are used to draw conclusions about underlying phenomena or populations. At its heart lies hypothesis testing, a procedure that evaluates ...

Medical information is judged using only two labels: 'significant' and 'not significant'.However, the actual causal relationship is not hidden there. Beyond statistical significance, there lies a ...

In the 21st century, we have seen a growing availability of shape-valued and imaging data, prompting the development of new statistical methods to analyze them. Importantly, bridging the new methods ...

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 ...

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 ...