Results 21 to 30 of about 68,121 (251)

Generalized Additive Mixed-Models for Pharmacology Using Integrated Discrete Multiple Organ Co-Culture. [PDF]

open access: yesPLoS ONE, 2016
Integrated Discrete Multiple Organ Co-culture (IDMOC) is emerging as an in-vitro alternative to in-vivo animal models for pharmacology studies. IDMOC allows dose-response relationships to be investigated at the tissue and organoid levels, yet, these ...
Thomas Ingersoll   +6 more
doaj   +1 more source

T4 rather than TSH correlates with BMD among euthyroid adults

open access: yesFrontiers in Endocrinology, 2023
PurposeThe objective of this study was to evaluate the association between thyroid hormone and bone mineral density (BMD) among euthyroid adults.MethodsThis cross-sectional study researched the information from the National Health and Nutrition ...
Ning Sheng   +4 more
doaj   +1 more source

Laplace Power-expected-posterior priors for generalized linear models with applications to logistic regression

open access: yes, 2021
Power-expected-posterior (PEP) methodology, which borrows ideas from the literature on power priors, expected-posterior priors and unit information priors, provides a systematic way to construct objective priors. The basic idea is to use imaginary training samples to update a noninformative prior into a minimally-informative prior.
Porwal, Anupreet, Rodriguez, Abel
openaire   +2 more sources

Predicting Galactic OH Masers from Dense Clump Properties with Neural Networks and Generalized Linear Models

open access: yesGalaxies
We develop predictive models for OH maser occurrence in Galactic star-forming regions by integrating dense-clump physical properties from the APEX Telescope Large Area Survey of the Galaxy (ATLASGAL) and Herschel Infrared Galactic Plane Survey (Hi-GAL ...
Dmitry A. Ladeyschikov   +2 more
doaj   +1 more source

Effects of Omitting Non-confounding Predictors From General Relative-Risk Models for Binary Outcomes

open access: yesJournal of Epidemiology, 2019
Background: The effects, in terms of bias and precision, of omitting non-confounding predictive covariates from generalized linear models have been well studied, and it is known that such omission results in attenuation bias but increased precision with ...
John Cologne   +3 more
doaj   +1 more source

Non-Linear Dynamic Modelling and Morecasting in Numbers of Patients with Cancer Disease in Nineveh City by Using Bayesian Approach [PDF]

open access: yesالمجلة العراقية للعلوم الاحصائية, 2011
This research deals with modeling cumulative number of patients with cancer disease in Nineveh Iraq. The method is based on classes of Exponential Growth Models and uses the ideas of Non-Linear Dynamic Generalized Model(NLDGM). We take three types of ;
doaj   +1 more source

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

A Statistical Analysis of the Lake Levels at Lake Neusiedl

open access: yesAustrian Journal of Statistics, 2016
A long record of daily data is used to study the lake levels of Lake Neusiedl, a large steppe lake at the eastern border of Austria. Daily lake level changes are modeled as functions of precipitation, temperature, and wind conditions.
Johannes Ledolter
doaj   +1 more source

Predictions from algorithmic modeling result in better decisions than from data modeling for soybean iron deficiency chlorosis.

open access: yesPLoS ONE, 2021
In soybean variety development and genetic improvement projects, iron deficiency chlorosis (IDC) is visually assessed as an ordinal response variable.
Zhanyou Xu   +3 more
doaj   +1 more source

Identifying gene expression signatures for risk stratification of postoperative adjuvant chemotherapy in colorectal cancer

open access: yesFEBS Open Bio, EarlyView.
A novel signature integrating genome‐wide analysis with clinical factors predicts recurrence in stage II colorectal cancer and enables a new risk stratification to guide postoperative adjuvant chemotherapy. Clinical risk stratification for postoperative recurrence in patients with pathological stage II (pStage II) colorectal cancer (CRC) is essential ...
Mayuko Otomo   +7 more
wiley   +1 more source

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