Recently, there has been an increased interest in developing statistical methodologies for analyzing single case experimental design data to supplement visual analysis. Some of these are simulation-driven such as Bayesian methods because Bayesian methods can compensate for small sample sizes, which is a main challenge of SCEDs. Two simulation-driven approaches: Bayesian unknown change-point model and simulation modeling analysis were compared in the present study for three real datasets that exhibit “clear” immediacy, “unclear” immediacy, and delayed effects. Although SMA estimates can (...) be used to answer some aspects of functional relationship between the independent and the outcome variables, they cannot address immediacy or provide an effect size estimate that considers autocorrelation as required by the What Works Clearinghouse Standards. BUCP overcomes these drawbacks of SMA. In final analysis, it is recommended that both visual and statistical analyses be conducted for a thorough analysis of SCEDs. (shrink)

Though the Random Utility Model (RUM) was conceived entirely in terms of ordinal utility, the apparatus through which it is widely practised exhibits properties of cardinal utility. The adoption of cardinal utility as a working operation of ordinal is perfectly valid, provided interpretations drawn from that operation remain faithful to ordinal utility. The article considers whether the latter requirement holds true for several measurements commonly derived from RUM. In particular it is found that measurements of consumer surplus change may depart (...) from ordinal utility, and exploit the cardinality inherent in the practical apparatus. (shrink)

More than 15 million people have been affected by coronavirus disease 2019 (COVID‐19) and it has caused 640 016 deaths as of July 26, 2020. Currently, no effective treatment option is available for COVID‐19 patients. Though many drugs have been proposed, none of them has shown particular efficacy in clinical trials. In this article, the relationship between the Adrenergic system and the renin‐angiotensin‐aldosterone system (RAAS) is focused in COVID‐19 and a vicious circle consisting of the Adrenergic system‐RAAS‐Angiotensin converting enzyme 2 (...) (ACE2)‐severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) (which is referred to as the “ARAS loop”) is proposed. Hyperactivation of the ARAS loop may be the underlying pathophysiological mechanism in COVID‐19, and beta‐adrenergic blockers are proposed as a potential treatment option. Beta‐adrenergic blockers may decrease the SARS‐CoV‐2 cellular entry by decreasing ACE2 receptors expression and cluster of differentiation 147 (CD147) in various cells in the body. Beta‐adrenergic blockers may decrease the morbidity and mortality in COVID‐19 patients by preventing or reducing acute respiratory distress syndrome (ARDS) and other complications. Retrospective and prospective clinical trials should be conducted to check the validity of the hypothesis. Also see the video abstract here https://youtu.be/uLoy7do5ROo. (shrink)

While the paradigm of utility maximisation has formed the basis of the majority of applications in discrete choice modelling for over 40 years, its core assumptions have been questioned by work in both behavioural economics and mathematical psychology as well as more recently by developments in the RUM-oriented choice modelling community. This paper reviews the basic properties with a view to explaining the historical pre-eminence of utility maximisation and addresses the question of what departures from the paradigm may be necessary (...) or wise in order to accommodate richer behavioural patterns. We find that many, though not all, of the behavioural traits discussed in the literature can be approximated sufficiently closely by a random utility framework, allowing analysts to retain the many advantages that such an approach possesses. (shrink)