Results 121 to 130 of about 166,390 (310)

Use cystatin C-based GFR-estimating equations [Elektronisk resurs]

, 2022
Use cystatin C-based GFR-estimating equations Glomerular filtration rate (GFR) is estimated by creatinine or cystatin C-based GFR-estimating equations.
Christensson, Anders,, Grubb, Anders,, Lund University., Segelmark, Mårten,   +3 more
core  

Analysing the significance of small conformational changes and low occupancy states in serial crystallographic data

FEBS Open Bio, EarlyView.
This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill, Yelyzaveta Pulnova, Elke De Zitter, Helen M. Ginn, Briony A. Yorke   +4 more
wiley   +1 more source

Working correlation structure misspecification, estimation and covariate design: Implications for generalised estimating equations performance

, 2003
The method of generalised estimating equations for regression modelling of clustered outcomes allows for specification of a working matrix that is intended to approximate the true correlation matrix of the observations.
Carey, Vincent, Wang, You-Gan, Carey, Vincent J., Carey, V., Wang, Y.-G.   +4 more
core   +1 more source

Quantitative proteomic analysis reveals different characteristics of bladder cancer cells after exposure to bisphenol A

FEBS Open Bio, EarlyView.
Bisphenol A (BPA), a common chemical in plastics, exerts dual effects on bladder cancer cells: low doses promote growth and migration, while high doses suppress growth and migration. Multi‐omics and bioinformatics reveal BPA acts via MAPK and inflammatory pathways.
Shaomin Niu, Lanlan Li, Wenjuan Jia, Hanzhong Feng, Xiaoquan Yu, Youli Zhao, Fengzhi Yuan, Hui Ding, Junqiang Tian, Yong‐Xing He, Zhiping Wang   +10 more
wiley   +1 more source

Omitting patients with no follow-up leads to bias when using inverse-intensity weighted GEEs to handle irregular and informative assessment times

BMC Medical Research Methodology
Background Longitudinal data can be used to study disease progression and are often collected at irregular intervals. When the assessment times are informative about the severity of the disease, regression analyses of the outcome trajectory over time ...
Xiawen Zhang, Anna Heath, Wei Xu, Eleanor Pullenayegum   +3 more
doaj   +1 more source

Sparse Estimation for Hamiltonian Mechanics

Mathematics
Estimating governing equations from observed time-series data is crucial for understanding dynamical systems. From the perspective of system comprehension, the demand for accurate estimation and interpretable results has been particularly emphasized ...
Yuya Note, Masahito Watanabe, Hiroaki Yoshimura, Takaharu Yaguchi, Toshiaki Omori   +4 more
doaj   +1 more source

The R Package geepack for Generalized Estimating Equations

This paper describes the core features of the R package geepack, which implements the generalized estimating equations (GEE) approach for fitting marginal generalized linear models to clustered data.
Ulrich Halekoh, Søren Højsgaard, Jun Yan   +2 more
core  

A technique for estimating a cost system that allows for inefficiency [PDF]

The presentation of a new econometric technique for estimating a system of cost and input share equations that allow for inefficiency.Econometrics ; Production (Economic theory)
Paul W. Bauer
core  

Large‐scale bidirectional arrayed genetic screens identify OXR1 and EMC4 as modifiers of αSynuclein aggregation

FEBS Open Bio, EarlyView.
Activation of the mitochondrial protein OXR1 increases pSyn129 αSynuclein aggregation by lowering ATP levels and altering mitochondrial membrane potential, particularly in response to MSA‐derived fibrils. In contrast, ablation of the ER protein EMC4 enhances autophagic flux and lysosomal clearance, broadly reducing α‐synuclein aggregates.
Sandesh Neupane, Lea Nikolić, Lorenzo Maraio, Thomas Goiran, Nathan Karpilovsky, Stefano Sellitto, Vangelis Bouris, Jiang‐An Yin, Ronald Melki, Edward A Fon, Adriano Aguzzi, Elena De Cecco   +11 more
wiley   +1 more source

GEEQBOX: A MATLAB Toolbox for Generalized Estimating Equations and Quasi-Least Squares

The GEEQBOX toolbox analyzes correlated data via the method of generalized estimating equations (GEE) and quasi-least squares (QLS), an approach based on GEE that overcomes some limitations of GEE that have been noted in the literature.
Justine Shults, Sarah J. Ratcliffe
core