Results 181 to 190 of about 566,893 (298)

Applications of the Fast Double Bootstrap [PDF]

The fast double bootstrap, or FDB, is a procedure for calculating bootstrap P values that is much more computationally efficient than the double bootstrap itself. In many cases, it can provide more accurate results than ordinary bootstrap tests.
James G. MacKinnon
core  

Age‐Dependent Prognostic Significance of Preoperative Transthyretin After Curative Resection for Stage I–III Colorectal Cancer

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Background Preoperative malnutrition and systemic inflammation are established determinants of adverse outcomes in colorectal cancer (CRC). Transthyretin (TTR), a rapid‐turnover hepatic protein, reflects both nutritional and inflammatory status; however, its clinical utility may be influenced by age‐ and sex‐related variability.
Ayane Kawata, Yuji Miyamoto, Hiro Nakamura, Takahiko Akiyama, Kota Arima, Katsuhiro Ogawa, Yukiharu Hiyoshi, Masaaki Iwatsuki   +7 more
wiley   +1 more source

Half-Life Estimation based on the Bias-Corrected Bootstrap: A Highest Density Region Approach [PDF]

The half-life is defined as the number of periods required for the impulse response to a unit shock to a time series to dissipate by half. It is widely used as a measure of persistence, especially in international economics to quantify the degree of mean
Param Silvapulle, Rob J. Hyndman, Jae Kim   +2 more
core  

Preoperative FIB‐4 Index as a Potential Factor Associated With Severe Postoperative Complications and Endogenous Organ Failure After Hepatectomy for Hepatocellular Carcinoma

Annals of Gastroenterological Surgery, EarlyView.
This study demonstrates that a preoperative FIB‐4 index ≥ 5.0 independently predicts severe complications and endogenous organ failure (EOF) following hepatectomy for hepatocellular carcinoma. By capturing structural liver fragility and systemic vulnerability, the FIB‐4 index enhances surgical risk stratification beyond traditional functional markers ...
Masanori Nakamura, Yukiyasu Okamura, Osamu Aramaki, Nao Yoshida, Yusuke Mitsuka, Hayato Abe, Shunsuke Yamagishi, Yasuhiro Okumura, Kyongsun Pak, Shinobu Masuda   +9 more
wiley   +1 more source

A Neutral Comparison of Multivariate Hypothesis Tests for Parallel Group Designs in Rare Disease Settings. [PDF]

Stat Med
Geroldinger M, Laimer M, Wally V, Bauer JW, Zimmermann G.   +4 more
europepmc   +1 more source

Biological Resectability in Colorectal Liver Metastases: A Nomogram‐Based Continuous Risk Model to Define Borderline Disease

Annals of Gastroenterological Surgery, EarlyView.
KRAS mutation demonstrated a prognostic impact according to primary tumor sidedness, independent of tumor morphology, in patients undergoing hepatectomy for colorectal liver metastases. A nomogram integrating biological and clinicopathological factors was developed to provide continuous biological risk assessment.
Yuzo Umeda, Toshiharu Mitsuhashi, Tomokazu Fuji, Toru Kojima, Takeshi Koujima, Tatsuo Matsuda, Daisuke Satoh, Masaru Inagaki, Kosei Takagi, Toshiyoshi Fujiwara   +9 more
wiley   +1 more source

Biodistribution and dosimetry of the carbon-11 labelled PARP1-selective PET radiopharmaceutical [¹¹C]AZ14193391. [PDF]

EJNMMI Res
Törnblom A, He C, Bolin M, Tzortzakakis A, Fernebro J, Li C, Fridsten S, Altena R, Axelsson R, Siikanen J, Hindorf C.   +10 more
europepmc   +1 more source

An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting

Advanced Intelligent Discovery, EarlyView.
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto, Gabriel Villarrubia Gonzalez, Ademir Nied, Laio Oriel Seman, Anne Carolina Rodrigues Klaar, Stefano Frizzo Stefenon   +5 more
wiley   +1 more source

A Robust Deep Temporal Causal Discovery Platform for Single‐Cell Gene Regulatory Network Reconstruction

Advanced Intelligent Discovery, EarlyView.
scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta, Madison Dautle, Shaoqiang Zhang, Yong Chen   +3 more
wiley   +1 more source

Identification of Changes in Gene Expression. [PDF]

Biom J
Ameis L, Möllenhoff K.
europepmc   +1 more source