Results 101 to 110 of about 26,999,079 (309)

The performance of multiple imputation for missing covariate data within the context of regression relative survival analysis.

open access: yes, 2008
Relative survival assesses the effects of prognostic factors on disease-specific mortality when the cause of death is uncertain or unavailable. It provides an estimate of patients' survival, allowing for the effects of other independent causes of death ...
Belot, Aurélien   +10 more
core   +1 more source

Clinical Utility of Machine Learning Methods Using Regression Models for Diagnosing Eosinophilic Chronic Rhinosinusitis

open access: yesOTO Open
Objective Machine learning methods using regression models can predict actual values of histological eosinophil count from blood eosinophil levels. Therefore, these methods might be useful for diagnosing eosinophilic chronic rhinosinusitis, but their ...
Hiroatsu Hatsukawa, Masaaki Ishikawa
doaj   +1 more source

Weather-Based Nonlinear Regressions for Digital TV Received Signal Strength Prediction

open access: yesElektronika ir Elektrotechnika
In this research, the impact of various weather conditions on digital television signals is investigated. Machine learning and nonlinear regression models were used to estimate the strength of the received signal.
Ivana Stefanovic   +3 more
doaj   +1 more source

Regression Analysis [PDF]

open access: yesThe Computer Journal, 1962
openaire   +1 more source

Oncogenic DMTF1β promotes cancer cell motility by regulating autophagy through ULK1 stabilization

open access: yesMolecular Oncology, EarlyView.
In the current study, we demonstrate that the oncogene DMTF1β regulates ULK1 stability by reducing its proteasomal degradation in cancer cells. This stabilization enables ULK1 to induce autophagy, which in turn facilitates cancer cell migration. Consequently, reduced DMTF1β levels lead to decreased autophagy and impaired cancer cell migration.
Jun Xu   +13 more
wiley   +1 more source

RCODE-spdep-spatial-regression

open access: yes, 2012
This file contains code used to run the spatial regression analysis in R using the package spdep. Annotations to the code are given in lines beginning with #
Davin L, Lopez (3326397)   +3 more
core   +1 more source

Spatial and single‐nuclei transcriptomics reveals idiosyncratic and generic patterns in papillary and anaplastic thyroid cancers

open access: yesMolecular Oncology, EarlyView.
Matched spatial transcriptomics and single‐nuclei RNA‐seq were generated for anaplastic and BRAFV600E papillary thyroid cancers revealing generic and tumor‐specific states occurring in cancer cells and in the tumor microenvironment. In this context, cancer dedifferentiation mirrored organoid maturation through ordered thyroid marker gain/loss ...
Adrien Tourneur   +11 more
wiley   +1 more source

Construction and efficacy evaluation of a model for early diagnosis of pediatric sepsis based on LASSO-logistic regression

open access: yesFrontiers in Pediatrics
ObjectiveThe aim of this study was to analyse the clinical characteristics and related risk factors of Pediatric Sepsis, construct a column-line diagram model to predict the likelihood of Pediatric Sepsis, and validate the model to facilitate primary ...
Yan Jiang   +7 more
doaj   +1 more source

Inhibition of cyclin‐dependent kinases 12/13 using CT7439 as a treatment for colorectal cancer with CDK12 upregulation

open access: yesMolecular Oncology, EarlyView.
The proposed mechanism of action for the CDK12/13 inhibitor and cyclin K degrader, CT7439. CDK12/13 inhibition interrupts transcription elongation, leading to increased DNA damage that results in cell death. This agent is a potentially novel treatment option for patients with colorectal cancer. Created in BioRender. Cyclin‐dependent kinase (CDK) 12 and
Wylie K. Watlington   +10 more
wiley   +1 more source

Asymptotics of Least Trimmed Squares Regression [PDF]

open access: yes
High breakdown-point regression estimators protect against large errors both in explanatory and dependent variables.The least trimmed squares (LTS) estimator is one of frequently used, easily understandable, and thoroughly studied (from the robustness ...
Cizek, P.
core  

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