Results 231 to 240 of about 35,444 (306)

A Fully-Integrated Bayesian Approach for the Imputation and Analysis of Derived Outcome Variables With Missingness. [PDF]

Stat Med
Campbell H, Morris TP, Gustafson P.
europepmc   +1 more source

Characterizations of Conditional Expectations

The Annals of Mathematical Statistics, 1967
openaire   +2 more sources

Prognostic Significance of Portal Vein Tumor Thrombus in Pancreatic Ductal Adenocarcinoma Treated With Chemoradiotherapy

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Aim To examine the significance of portal vein tumor thrombus (PVTT) as a prognostic factor for patients with pancreatic ductal adenocarcinoma (PDAC) treated with chemoradiotherapy (CRT) followed by surgery. Methods The study retrospectively examined 313 patients with borderline resectable (BR) or locally advanced (LA) PDAC who underwent CRT ...
Aoi Hayasaki, Motonori Nagata, Miki Usui, Hiroshi Imai, Yusuke Iizawa, Akihiro Tanemura, Yasuhiro Murata, Naohisa Kuriyama, Masashi Kishiwada, Shugo Mizuno   +9 more
wiley   +1 more source

Estimating and Evaluating Counterfactual Prediction Models. [PDF]

Stat Med
Boyer CB, Dahabreh IJ, Steingrimsson JA.
europepmc   +1 more source

Domain‐Aware Implicit Network for Arbitrary‐Scale Remote Sensing Image Super‐Resolution

Advanced Intelligent Discovery, EarlyView.
Although existing arbitrary‐scale image super‐resolution methods are flexible to reconstruct images with arbitrary scales, the characteristic of training distribution is neglected that there exists domain shift between samples of various scales. In this work, a Domain‐Aware Implicit Network (DAIN) is proposed to handle it from the perspective of domain
Xiaoxuan Ren, Qian Jiang, Xin Jin, Puming Wang, Xing Chu, Shaowen Yao, Shengfa Miao   +6 more
wiley   +1 more source

A multilevel Bayesian approach to climate-fueled migration and conflict. [PDF]

Sci Rep
Palandri C, Concha Larrauri P, Gelman A, Puma MJ, Lall U.   +4 more
europepmc   +1 more source

AI‐Enhanced Surface‐Enhanced Raman Scattering for Accurate and Sensitive Biomedical Sensing

Advanced Intelligent Discovery, EarlyView.
AI‐SERS advances spectral interpretation with greater precision and speed, enhancing molecular detection, biomedical analysis, and imaging. This review explores its essential contributions to biofluid analysis, disease identification, therapeutic agent evaluation, and high‐resolution biomedical imaging, aiding diagnostic decision‐making.
Seungki Lee, Rowoon Park, Ho Sang Jung
wiley   +1 more source

How classroom climate is linked to prosocial behavior in undergraduate students: a multilevel moderated mediation model of feedback expectation and self-monitoring. [PDF]

BMC Psychol
Zhou S, Qin L, Deng J, Zhe J, Jiang D, Long S, Wu Y.   +6 more
europepmc   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Bounds on the Excess Minimum Risk via Generalized Information Divergence Measures. [PDF]

Entropy (Basel)
Omanwar A, Alajaji F, Linder T.
europepmc   +1 more source