Results 131 to 140 of about 770,979 (259)
A Bibliometric Analysis of Publications in Uremic Toxins From 1991 to 2024
ABSTRACT Background Uremic toxins are a growing area of research in nephrology, with significant implications in the progression and treatment of chronic kidney disease (CKD) and the management of end‐stage kidney disease (ESKD). This bibliometric analysis aims to evaluate the global research trends, key contributors, and the impact of publications in ...
Yuh‐Shan Ho +7 more
wiley +1 more source
Update to Trial Forge Guidance 2: addition of the Value of Information criterion. [PDF]
Gkekas A +5 more
europepmc +1 more source
Detecting multiple spatial disease clusters: information criterion and scan statistic approach. [PDF]
Takahashi K, Shimadzu H.
europepmc +1 more source
ABSTRACT Background Therapeutic apheresis (TA) is an established treatment modality for hematologic, neurologic, and immunologic disorders, yet access remains severely limited in sub‐Saharan Africa. Donor apheresis, including platelet apheresis collection from healthy donors, represents an important complementary modality supporting blood product ...
Nosa Bazuaye +33 more
wiley +1 more source
Change Point Detection in Panel Linear Regression Models Based on Jump Information Criterion. [PDF]
Zhao W, Fan L, Xia Z.
europepmc +1 more source
A stress test to evaluate the usefulness of Akaike information criterion in short-term earthquake prediction. [PDF]
Tozzi R, Masci F, Pezzopane M.
europepmc +1 more source
ABSTRACT Background Patients with chronic kidney disease undergoing hemodialysis commonly experience reduced physical function, fatigue, poor sleep quality, and impaired health‐related quality of life. Intradialytic exercise has been proposed as a non‐pharmacological strategy to improve these outcomes.
Klebson da Silva Almeida +6 more
wiley +1 more source
Application of the Akaike Information Criterion to Ultrasonic Measurement of Liquid Volume in a Cylindrical Tank. [PDF]
Opieliński KJ, Świetlik T.
europepmc +1 more source
Development of spectral decomposition based on Bayesian information criterion with estimation of confidence interval. [PDF]
Shinotsuka H +5 more
europepmc +1 more source

