Results 121 to 130 of about 1,120,836 (288)
Molecular Oncology, EarlyView.Detecting circulating tumor cells (CTCs) in blood before surgery may help predict outcomes in patients with head and neck squamous cell carcinoma (HNSCC). Here, we show when combined with tumor size and lymph node involvement from routine imaging, CTC status identifies high‐risk patients with poorer survival—offering a simple, minimally invasive tool ...
Susanne Flach +9 more
wiley +1 more source
Drawing Guideline for JKMS Manuscripts (03): Plots for Categorical Data. [PDF]
J Korean Med Sci, 2021 Kim J, Lee JS, Kim S.
europepmc +1 more source
Generalized bi-additive modelling for categorical data
Generalized linear modelling (GLM) is a versatile technique, which may be viewed as a generalization of well-known techniques such as least squares regression, analysis of variance, loglinear modelling, and logistic regression.
Koning, A.J., Groenen, P.J.F.
core
Bayesian model estimation and comparison for longitudinal categorical data
, 2008 In this thesis, we address issues of model estimation for longitudinal categorical data and of model selection for these data with missing covariates. Longitudinal survey data capture the responses of each subject repeatedly through time, allowing for ...
Tran, Thu Trung
core
FEBS Open Bio, EarlyView.RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz +6 more
wiley +1 more source
Rough set based information theoretic approach for clustering uncertain categorical data. [PDF]
PLoS One, 2022 Uddin J +5 more
europepmc +1 more source
Making sense of categorical data - question confusion
, 2019 When students encounter categorical data, lessons often focus on computing probabilities from twoway tables. These computations may involve simple, joint, and conditional probabilities, and the calculation of relative risk.
Budgett, Stephanie, Puloka, M
core
Discriminant Analysis with Categorical Data
, 1977 A method for studying relationships among groups in terms of categorical data patterns is described. The procedure yields a dimensional representation of configural relationships among multiple groups and a quantitative scaling of categorical data ...
Woodward, J. Arthur, Overall, John E.
core +1 more source
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 +4 more
wiley +1 more source