Results 221 to 230 of about 22,191,063 (377)

ESTIMASI PARAMETE R MODEL REGRESI LINIER BERGANDA DEN GA N TEKNIK BOOTSTRAP

, 2016
Dwi Annisa Fitri
openalex   +2 more sources

Association of HAMP Expression and CD8+ T‐Cell Infiltration With Atezolizumab–Bevacizumab Response in Hepatocellular Carcinoma

Annals of Gastroenterological Surgery, EarlyView.
In hepatocellular carcinoma treated with atezolizumab–bevacizumab, responders showed RNA‐seq enrichment of immune and chemokine pathways with higher HAMP expression. In resected specimens, immunohistochemistry confirmed increased intratumoral CD8+ T‐cell density and hepcidin (HAMP), supporting HAMP plus CD8 as components of a composite predictor of ...
Shun Nakamura, Yuki Murakami, Yusuke Oshima, Takashi Masuda, Wataru Miyoshino, Hiroomi Takayama, Yoko Kawano, Teijiro Hirashita, Yuichi Endo, Masafumi Inomata   +9 more
wiley   +1 more source

Non-Markov Nonparametric Estimation of Complex Multistate Outcomes After Hematopoietic Stem Cell Transplantation. [PDF]

Biom J
Vilsmeier J, Schmeller S, Fürst D, Beyersmann J.   +3 more
europepmc   +1 more source

The National Clinical Database Risk Calculator and the 5‐Item Modified Frailty Index Predict the Development of Postoperative Delirium After Surgery for Hepatocellular Carcinoma

Annals of Gastroenterological Surgery, EarlyView.
This study demonstrates that combining the NCD Risk Calculator with the mFI‐5 enables more precise stratification of postoperative delirium risk in patients undergoing surgery for HCC. Patients classified as high risk by the combined model showed a markedly higher incidence of delirium than those in the intermediate‐ and low‐risk groups.
Kiyotaka Hosoda, Akira Shimizu, Koji Kubota, Tsuyoshi Notake, Hiroki Sakai, Kentaro Yoshikawa, Tomohiko Ikehara, Hikaru Hayashi, Koya Yasukawa, Yuji Soejima   +9 more
wiley   +1 more source

PRE-ECV Score: Validation of a Pre-Specified Tool for Predicting the Success of External Cephalic Version at Term-Proof of Concept. [PDF]

J Clin Med
Manasar-Dyrbuś M, Niziński K, Skowronek K, Winkowska E, Stojko R, Staniczek J.   +5 more
europepmc   +1 more source

Robust Wild Bootstrap for Stabilizing the Variance of Parameter Estimates in Heteroscedastic Regression Models in the Presence of Outliers [PDF]

, 2012
Sohel Rana, Habshah Midi, A. H. M. Rahmatullah Imon   +2 more
openalex   +1 more source

A Weighted Residual Bootstrap Method for Multilevel Modeling with Sampling Weights

, 2021
Wen Luo, Mark H. C. Lai
openalex   +2 more sources

Feature Selection for Machine Learning‐Driven Accelerated Discovery and Optimization in Emerging Photovoltaics: A Review

Advanced Intelligent Discovery, EarlyView.
Feature selection combined with machine learning and high‐throughput experimentation enables efficient handling of high‐dimensional datasets in emerging photovoltaics. This approach accelerates material discovery, improves process optimization, and strengthens stability prediction, while overcoming challenges in data quality and model scalability to ...
Jiyun Zhang, Jiayi Tan, Qizhen Song, Tian Du, Jens Hauch, Christoph J. Brabec   +5 more
wiley   +1 more source

Comparative pharmacokinetics of voriconazole between elderly and young adult patients: a population pharmacokinetic study. [PDF]

J Pharm Policy Pract
Zaryab Zakria K, Usman M, Bilal H, Akbar Z, Hussain T, Ali M, Sattar A, Alvi I, Rasheed H, Zulfiqar S, Rehan Khan M, Zahid Mushtaq M.   +11 more
europepmc   +1 more source

Applications of threshold models and the weighted bootstrap for Hungarian precipitation data [PDF]

, 2013
László Varga, P. Rakonczai, András Zempléni   +2 more
openalex   +1 more source