Stijn Vansteelandt

TL;DR: The combination of fast detection times, sensitivity, low costs and easy maintenance of IMS instruments makes this technique an attractive alternative for HPLC in this type of experiments.

TL;DR: In this paper, double-robust G-estimators are proposed to estimate the effect of an exposure on an outcome using instrumental variables (IVs) instead of using a wrong exposure model, e.g. when the exposure is binary.

TL;DR: This work evaluates the separate contributions of structural uninformativeness and sampling variation to uncertainty about the population parameters and uses the results to estimate the causal effect of observed exposure on successful blood pressure reduction in a randomized controlled clinical trial with partial non-compliance.

TL;DR: These pragmatic, if highly conservative, estimates quantify the potential for prevention of VAP and BSI in routine conditions, assuming that variation in infection incidence between ICUs can be eliminated with improved quality of care, apart from variation attributable to differential case mix.

TL;DR: A likelihood-based framework for modeling site dependencies but incorporates site dependencies across the entire tree by letting the evolutionary parameters in these models depend upon the ancestral states at the neighboring sites, which avoids the need for introducing new and high-dimensional evolutionary models for site-dependent evolution.