Results 51 to 60 of about 397,901 (297)

Decomposable log-linear models [PDF]

, 2005
The present paper considers discrete probability models with exact computational properties. In relation to contingency tables this means closed form expressions of the maksimum likelihood estimate and its distribution.
Eriksen, Poul Svante
core   +2 more sources

Developmental programmes drive cellular plasticity, disease progression and therapy resistance in lung adenocarcinoma

Molecular Oncology, EarlyView.
This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska, Stephany Gallardo, Nur S. Zainal, Leena Arora, Matthew Ellis, Maria‐Antoinette Lopez, Judith Austine, Sai Pittla, Serena J Chee, Aiman Alzetani, Emily C Shaw, Christian H Ottensmeier, Gareth J Thomas, Christopher J Hanley   +13 more
wiley   +1 more source

On the Connection Between the Distribution of Eigenvalues in Multiple Correspondence Analysis and Log-Linear Models

Revstat Statistical Journal, 2003
Multiple Correspondence Analysis (MCA) and log-linear modeling are two techniques for multi-way contingency table analysis having different approaches and fields of applications.
S. Ben Ammou , G. Saporta
doaj   +1 more source

Longitudinal genome‐wide aneuploidy measurements in circulating cell‐free DNA to predict lack of benefit from pembrolizumab in patients with metastatic urothelial cancer

Molecular Oncology, EarlyView.
Many patients with urothelial cancer do not benefit from treatment with pembrolizumab, while at risk of severe side effects. Changes in the levels of circulating tumor DNA early during treatment, measured by a simple and affordable assay that can be easily implemented in the clinic, can be used as a prognostic tool to identify these patients.
Youssra Salhi, Stavros Makrodimitris, Sandra van Wilpe, Iris te Paske, Vanja de Weerd, Corine M. Beaufort, Hans M. Westgeest, Jens Voortman, Maureen J. B. Aarts, Maud Rijnders, Astrid A. M. van der Veldt, Ronald de Wit, Niven Mehra, Saskia M. Wilting, Debbie G. J. Robbrecht   +14 more
wiley   +1 more source

Power estimation of tests in log-linear non-uniform association models for ordinal agreement

BMC Medical Research Methodology, 2011
Background Log-linear association models have been extensively used to investigate the pattern of agreement between ordinal ratings. In 2007, log-linear non-uniform association models were introduced to estimate, from a cross-classification of two ...
Mary Jean-Yves, Valet Fabien
doaj   +1 more source

Log-linear models for word alignment [PDF]

Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics - ACL '05, 2005
We present a framework for word alignment based on log-linear models. All knowledge sources are treated as feature functions, which depend on the source language sentence, the target language sentence and possible additional variables. Log-linear models allow statistical alignment models to be easily extended by incorporating syntactic information.
Yang Liu 0005, Qun Liu 0001, Shouxun Lin
openaire   +1 more source

A novel quinazolinone insulin receptor inhibitor and its synergy with an EGFR inhibitor in glucose‐driven glioblastoma

Molecular Oncology, EarlyView.
The novel styrylquinazolinone‐based molecule W1B effectively suppresses glioblastoma by inhibiting IGF1R and EGFR. In high‐glucose microenvironments driving tumor resistance, W1B acts synergistically with the EGFR inhibitor dacomitinib. This combination safely blocks compensatory survival signaling in zebrafish xenograft models. Showcasing promising in
Patryk Rurka, Wioleta Cieślik, Wojciech Płaziński, Katarzyna Stępnik, Anna Boguszewska‐Czubara, Elżbieta Kot, Robert Musioł, Mateusz Jasica, Anna Mrozek‐Wilczkiewicz, Katarzyna Malarz   +9 more
wiley   +1 more source

A Two-Stage Method for Decorrelating the Errors in Log-Linear Models for Spectral Density Comparisons in Neural Spike Sequences

Applied Biosciences
In this paper, we present three log-linear models for comparing spectral density functions (SDFs) of neural spike sequences (NSSs). The logarithmic (ln) ratios of the estimated SDFs are modeled as polynomial expressions with respect to angular ...
Georgios E. Michailidis, Vassilios G. Vassiliadis, Alexandros G. Rigas   +2 more
doaj   +1 more source

Local Riemannian geometry of model manifolds and its implications for practical parameter identifiability.

PLoS ONE, 2019
When non-linear models are fitted to experimental data, parameter estimates can be poorly constrained albeit being identifiable in principle. This means that along certain paths in parameter space, the log-likelihood does not exceed a given statistical ...
Daniel Lill, Jens Timmer, Daniel Kaschek
doaj   +1 more source

Log-linear modeling

Annals of Emergency Medicine, 1993
Annals of Emergency Medicine 22 (1993) 1240-1240.
Division of Emergency Medicine University of Florida Health Science Center Jacksonville, USA ( host institution ), Wears, Robert L   +1 more
openaire   +2 more sources