Results 41 to 50 of about 1,995,230 (269)

Randomization-based, Bayesian inference of causal effects

Journal of Causal Inference, 2023
Bayesian causal inference in randomized experiments usually imposes model-based structure on potential outcomes. Yet causal inferences from randomized experiments are especially credible because they depend on a known assignment process, not a ...
Leavitt Thomas
doaj   +1 more source

Model‐informed precision dosing of teicoplanin for the rapid achievement of the target area under the concentration‐time curve: A simulation study

Clinical and Translational Science, 2023
Teicoplanin, a glycopeptide antimicrobial, is recommended for therapeutic drug monitoring, but it remains unclear how to target the area under the concentration‐time curve (AUC). This simulation study purposed to demonstrate the potential of the Bayesian
Kazutaka Oda, Tomoyuki Yamada, Kazuaki Matsumoto, Yuki Hanai, Takashi Ueda, Masaru Samura, Akari Shigemi, Hirofumi Jono, Hideyuki Saito, Toshimi Kimura   +9 more
doaj   +1 more source

Model‐informed precision dosing of vancomycin for rapid achievement of target area under the concentration‐time curve: A simulation study

Clinical and Translational Science, 2023
In this study, we aimed to evaluate limited sampling strategies for achieving the therapeutic ranges of the area under the concentration‐time curve (AUC) of vancomycin on the first and second day (AUC0–24, AUC24–48, respectively) of therapy.
Kazutaka Oda, Tomoyuki Yamada, Kazuaki Matsumoto, Yuki Hanai, Takashi Ueda, Masaru Samura, Akari Shigemi, Hirofumi Jono, Hideyuki Saito, Toshimi Kimura   +9 more
doaj   +1 more source

Extracorporeal Membrane Oxygenation for Severe Acute Respiratory Distress Syndrome and Posterior Probability of Mortality Benefit in a Post Hoc Bayesian Analysis of a Randomized Clinical Trial

Journal of the American Medical Association (JAMA), 2018
Importance Bayesian analysis of clinical trial data may provide useful information to aid in study interpretation, especially when trial evidence suggests that the benefits of an intervention are uncertain, such as in a trial that evaluated early ...
E. Goligher, G. Tomlinson, D. Hajage, D. Wijeysundera, E. Fan, P. Jüni, D. Brodie, Arthur S Slutsky, A. Combes   +8 more
semanticscholar   +1 more source

Bayes-Based Fault Discrimination in Wide Area Backup Protection

Advances in Electrical and Computer Engineering, 2012
Multivariate statistical analysis is an effective tool to finish the fault location for electric power system. In Bayesian discriminant analysis as a subbranch, by the research of several populations, one can calculate the conditional probability that ...
WANG, Z., ZHANG, J., ZHANG, Y.
doaj   +1 more source

A Normative Theory of Argument Strength

Informal Logic, 2008
In this article, we argue for the general importance of normative theories of argument strength. We also provide some evidence based on our recent work on the fallacies as to why Bayesian probability might, in fact, be able to supply such an account.
Ulrike Hahn, Mike Oaksford
doaj   +1 more source

Ship Target Identification via Bayesian-Transformer Neural Network

Journal of Marine Science and Engineering, 2022
Ship target identification is of great significance in both military and civilian fields. Many methods have been proposed to identify the targets using tracks information. However, most of existing studies can only identify two or three types of targets,
Zhan Kong, Yaqi Cui, Wei Xiong, Fucheng Yang, Zhenyu Xiong, Pingliang Xu   +5 more
doaj   +1 more source

Dynamic reliability prediction of bridge member based on Bayesian dynamic nonlinear model and monitored data

Advances in Mechanical Engineering, 2016
Bridge monitoring systems provide a huge number of stress data used for reliability prediction. In this article, the dynamic measure of structural stress over time is considered as a time series, and considering the limitation of the existing Bayesian ...
Xueping Fan, Yuefei Liu
doaj   +1 more source

Improving Diagnostic Efficiency with Frequency Double-Trees and Frequency Nets in Bayesian Reasoning

MDM Policy & Practice, 2022
Background. Medical students often have problems with Bayesian reasoning situations. Representing statistical information as natural frequencies (instead of probabilities) and visualizing them (e.g., with double-trees or net diagrams) leads to higher ...
Alexandra K. Kunzelmann, Karin Binder, Martin R. Fischer, Martin Reincke, Leah T. Braun, Ralf Schmidmaier   +5 more
doaj   +1 more source

A new RREQ message forwarding technique based on Bayesian probability theory

EURASIP Journal on Wireless Communications and Networking, 2012
The flooding method, which is used by many mobile ad-hoc routing protocols, is a process in which a route request packet (RREQ) is broadcasted from a source node to other nodes in the network.
V. Kanakaris, D. Ndzi, K. Ovaliadis, Yanyan Yang   +3 more
semanticscholar   +1 more source