Results 1 to 10 of about 22,964,900 (284)

Circulating Histones in Sepsis: Potential Outcome Predictors and Therapeutic Targets [PDF]

open access: yesFrontiers 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
doaj   +3 more sources

Medication Errors in Vietnamese Hospitals: Prevalence, Potential Outcome and Associated Factors. [PDF]

open access: yesPLoS 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
doaj   +3 more sources

Potential outcome and decision theoretic foundations for statistical causality [PDF]

open access: yesJournal 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.
doaj   +2 more sources

Discovery of genes positively modulating treatment effect using potential outcome framework and Bayesian update [PDF]

open access: yesBMC 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
doaj   +2 more sources

The Use of Covariates and Random Effects in Evaluating Predictive Biomarkers Under a Potential Outcome Framework. [PDF]

open access: yesAnn Appl Stat, 2014
Predictive or treatment selection biomarkers are usually evaluated in a subgroup or regression analysis with focus on the treatment-by-marker interaction.
Zhang Z, Nie L, Soon G, Liu A.
europepmc   +3 more sources

Intraocular pressure-lowering effects of Ripasudil: a potential outcome marker for Trabeculotomy [PDF]

open access: yesBMC 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
doaj   +2 more sources

Choosing exogeneity assumptions in potential outcome models [PDF]

open access: yesEconometrics Journal, 2022
There are many kinds of exogeneity assumptions. How should researchers choose among them? When exogeneity is imposed on an unobservable like a potential outcome, we argue that the form of exogeneity should be chosen based on the kind of selection on ...
Matthew A. Masten, Alexandre Poirier
semanticscholar   +1 more source

Causation and decision: On Dawid’s “Decision theoretic foundation of statistical causality”

open access: yesJournal 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
doaj   +1 more source

Definition and Estimation of Covariate Effect Types in the Context of Treatment Effectiveness

open access: yesMathematics, 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
doaj   +1 more source

Decision-theoretic foundations for statistical causality

open access: yesJournal 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
doaj   +1 more source

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