Results 71 to 80 of about 1,583,424 (275)

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

open access: yesApplied 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   +2 more
doaj   +1 more source

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

open access: yesBMC 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 modeling

open access: yesAnnals 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 )   +1 more
openaire   +2 more sources

Genetic attenuation of ALDH1A1 increases metastatic potential and aggressiveness in colorectal cancer

open access: yesMolecular Oncology, EarlyView.
Aldehyde dehydrogenase 1A1 (ALDH1A1) is a cancer stem cell marker in several malignancies. We established a novel epithelial cell line from rectal adenocarcinoma with unique overexpression of this enzyme. Genetic attenuation of ALDH1A1 led to increased invasive capacity and metastatic potential, the inhibition of proliferation activity, and ultimately ...
Martina Poturnajova   +25 more
wiley   +1 more source

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

open access: yesPLoS 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

Targeted modulation of IGFL2‐AS1 reveals its translational potential in cervical adenocarcinoma

open access: yesMolecular Oncology, EarlyView.
Cervical adenocarcinoma patients face worse outcomes than squamous cell carcinoma counterparts despite similar treatment. The identification of IGFL2‐AS1's differential expression provides a molecular basis for distinguishing these histotypes, paving the way for personalized therapies and improved survival in vulnerable populations globally.
Ricardo Cesar Cintra   +6 more
wiley   +1 more source

A Common Platform for Graphical Models in R: The gRbase Package

open access: yesJournal of Statistical Software, 2005
The gRbase package is intended to set the framework for computer packages for data analysis using graphical models. The gRbase package is developed for the open source language, R, and is available for several platforms.
Claus Dethlefsen, Søren Højsgaard
doaj  

Pre‐analytical optimization of cell‐free DNA and extracellular vesicle‐derived DNA for mutation detection in liquid biopsies

open access: yesMolecular Oncology, EarlyView.
Pre‐analytical handling critically determines liquid biopsy performance. This study defines practical best‐practice conditions for cell‐free DNA (cfDNA) and extracellular vesicle–derived DNA (evDNA), showing how processing time, storage conditions, tube type, and plasma input volume affect DNA integrity and mutation detection.
Jonas Dohmen   +11 more
wiley   +1 more source

Standardizing effect size from linear regression models with log-transformed variables for meta-analysis

open access: yesBMC Medical Research Methodology, 2017
Background Meta-analysis is very useful to summarize the effect of a treatment or a risk factor for a given disease. Often studies report results based on log-transformed variables in order to achieve the principal assumptions of a linear regression ...
Miguel Rodríguez-Barranco   +4 more
doaj   +1 more source

A COMPLETE CHARACTERIZATION OF THE LINEAR, LOG-LINEAR, AND SEMI-LOG INCOMPLETE DEMAND SYSTEM MODELS [PDF]

open access: yes
This study extends LaFranceÂ’'s (1985, 1986, 1990) previous research by deriving the necessary parameter restrictions for two additional classes of incomplete demand system models to be integrable.
von Haefen, Roger H.
core   +1 more source

Home - About - Disclaimer - Privacy