Circulating Histones in Sepsis: Potential Outcome Predictors and Therapeutic Targets [PDF]
Frontiers in Immunology, 2021 Sepsis is defined as a life-threatening organ dysfunction caused by a dysregulated host response to infection and is associated with high morbidity and mortality. Circulating histones (CHs), a group of damage-associated molecular pattern molecules mainly
Yupei Li +16 more
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Discovery of genes positively modulating treatment effect using potential outcome framework and Bayesian update [PDF]
BMC Medical Informatics and Decision Making, 2022 Background The recent explosion of cancer genomics provides extensive information about mutations and gene expression changes in cancer. However, most of the identified gene mutations are not clinically utilized. It remains uncertain whether the presence
Youngkeun Lee, Jisoo Kim, Sung Wook Seo
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Medication Errors in Vietnamese Hospitals: Prevalence, Potential Outcome and Associated Factors. [PDF]
PLoS ONE, 2015 Evidence from developed countries showed that medication errors are common and harmful. Little is known about medication errors in resource-restricted settings, including Vietnam.To determine the prevalence and potential clinical outcome of medication ...
Huong-Thao Nguyen +4 more
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Intraocular pressure-lowering effects of Ripasudil: a potential outcome marker for Trabeculotomy [PDF]
BMC Ophthalmology, 2019 Background To examine the use of ripasudil as a trabeculotomy outcome marker in patients with primary open-angle glaucoma (POAG). Methods Between May 2015 and December 2018, 35 eyes underwent trabeculotomy and were postoperatively followed for over 3 ...
Erina Goda +3 more
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Potential outcome and decision theoretic foundations for statistical causality
Journal of Causal Inference, 2023 In a recent work published in this journal, Philip Dawid has described a graphical causal model based on decision diagrams. This article describes how single-world intervention graphs (SWIGs) relate to these diagrams.
Richardson Thomas S., Robins James M.
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Causation and decision: On Dawid’s “Decision theoretic foundation of statistical causality”
Journal of Causal Inference, 2022 In a recent issue of this journal, Philip Dawid (2021) proposes a framework for causal inference that is based on statistical decision theory and that is, in many aspects, compatible with the familiar framework of causal graphs (e.g., Directed Acyclic ...
Pearl Judea
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Definition and Estimation of Covariate Effect Types in the Context of Treatment Effectiveness
Mathematics, 2020 In some clinical studies, assessing covariate effect types indicating whether a covariate is predictive and/or prognostic is of interest, in addition to the study endpoint. Recently, for a case with a binary outcome, Chiba (Clinical Trials, 2019; 16: 237–
Yasutaka Chiba
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Decision-theoretic foundations for statistical causality
Journal of Causal Inference, 2021 We develop a mathematical and interpretative foundation for the enterprise of decision-theoretic (DT) statistical causality, which is a straightforward way of representing and addressing causal questions.
Dawid Philip
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Adverse Outcome in Non-Severe COVID-19: Potential Diagnostic Coagulation Tests
Reports, 2021 COVID-19-associated coagulopathy (CAC) identifies the coagulation changes in coronavirus disease 2019 (COVID-19) and is responsible for thrombosis. CAC has been studied in critical and severe stage COVID-19 disease through tests including the D-Dimer (DD)
Rossella Cacciola +3 more
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Frontiers in Human Neuroscience, 2022 Previous studies have examined the outcome evaluation related to the self and other, and recent research has explored the outcome evaluation of the self and other with pro-social implications.
Min Tan +13 more
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