Van Tien Le

Van Tien Le is a PhD Candidate in Business Analytics at Trinity Business School, Trinity College Dublin. 

The same statistical method is often taught one way by economists and another by biostatisticians, with management scholars following a third set of conventions, yet leaving applied researchers with conflicting advice and no clear way to choose between them. Van Tien works on this problem through logistic regression, one of the most widely used statistical methods in business and the social sciences, asking how researchers can tell trustworthy methodological guidance from habit, convention, and outdated rules of thumb.

His research moves between surveying what the literature actually claims, generating fresh evidence through large-scale simulation, and weighing competing claims by the strength of their evidence rather than how often they are repeated, since an outdated rule can appear in more papers than its correction. These threads feed one another and shift as the work develops: a contradiction in the literature becomes the next simulation to run, and a new simulation result revises what the field should treat as settled.

Logistic regression is the proving ground, but the approach is meant to travel to other methods and fields. 

Van Tien holds a Master's degree in Business Analytics from Trinity College Dublin, where he graduated with distinction, and has previously led recruitment technology and organisational development projects in Vietnam.

Research Expertise (keywords):
Evidence-based methodology; Logistic regression; Linear probability model; Monte Carlo simulation; Systematic literature review; Computational epistemology; Knowledge graphs