Results 41 to 50 of about 179,170 (301)

brms: An R Package for Bayesian Multilevel Models Using Stan

Journal of Statistical Software, 2017
The brms package implements Bayesian multilevel models in R using the probabilistic programming language Stan. A wide range of distributions and link functions are supported, allowing users to fit - among others - linear, robust linear, binomial ...
Paul-Christian Bürkner
doaj   +1 more source

Ordered Choice Models: Ordinal Logit and Ordinal Probit [PDF]

, 2022
Classical ordinal logit and probit models are used in studies where the dependent variable is categorical and ordinal. In order to use these models, the assumption of parallel slopes must be met.
Öznur İşçi Güneri, Burcu Durmuş, Aynur İncekırık   +2 more
core  

Functorial scaling of ordinal data

Discrete Applied Mathematics, 2005
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Silke Pollandt, Rudolf Wille
openaire   +2 more sources

Circulating tumor cell viability during and after radiotherapy mirrors treatment response in cancer patients

Molecular Oncology, EarlyView.
Radiotherapy (RT) response depends on the DNA repair capacity of tumor and host cells. We show that circulating tumor cell (CTC) counts and apoptosis rates before and after RT predict treatment response and outcome, which can be accessed via easily accessible liquid biopsy approaches. Created in BioRender. Wikman, H.
Yvonne Goy, Jana Löptien, Cornelia Coith, Afroditi Nanou, Katharina Hintelmann, Pinnschmidt Hans, Cordula Petersen, Klaus Pantel, Sabine Riethdorf, Kerstin Borgmann, Harriet Wikman   +10 more
wiley   +1 more source

Longitudinal genome‐wide aneuploidy measurements in circulating cell‐free DNA to predict lack of benefit from pembrolizumab in patients with metastatic urothelial cancer

Molecular Oncology, EarlyView.
Many patients with urothelial cancer do not benefit from treatment with pembrolizumab, while at risk of severe side effects. Changes in the levels of circulating tumor DNA early during treatment, measured by a simple and affordable assay that can be easily implemented in the clinic, can be used as a prognostic tool to identify these patients.
Youssra Salhi, Stavros Makrodimitris, Sandra van Wilpe, Iris te Paske, Vanja de Weerd, Corine M. Beaufort, Hans M. Westgeest, Jens Voortman, Maureen J. B. Aarts, Maud Rijnders, Astrid A. M. van der Veldt, Ronald de Wit, Niven Mehra, Saskia M. Wilting, Debbie G. J. Robbrecht   +14 more
wiley   +1 more source

Analyzing and visualizing repeated-measures needs assessment data using the ranked discrepancy model

Advancements in Agricultural Development
The Ranked Discrepancy Model was introduced in 2021 as an alternative for analyzing Borich-style competency-based needs assessment data which avoided the pitfalls associated with the original methods for analysis.
Lendel Narine, Amy Harder
doaj   +1 more source

Analyzing the health status of the population using ordinal data [PDF]

Computational Methods in Social Sciences, 2015
We intend to estimate the health status of the people using a Gini kind index GO for measuring the inequality and a polarization indicator PO too.
Maria Livia ŞTEFĂNESCU
doaj  

Quantifying association in ordinal data [PDF]

Journal of Family Planning and Reproductive Health Care, 2010
What is non-parametric correlation? A non-parametric (or ordinal) correlation coefficient for two variables quantifies the extent to which there is, in the study sample, a consistent relationship between the values for the two variables. The correlation coefficient indexes the strength of the relationship found, from zero (no discernible relationship ...
openaire   +2 more sources

The skills required for transition to university and study in biological sciences: A student perspective

FEBS Open Bio, EarlyView.
Bioscience students were asked for their opinions on the value and teaching of skills. 204 responded that teamwork, time management and study skills are necessary to reach University, that scientific writing, research, laboratory and presentation skills are taught effectively during their studies, while other skills are gained inherently through study ...
Janella Borrell, Susan Crennell
wiley   +1 more source

Nonparametric Predictive Inference for Ordinal Data and Accuracy of Diagnostic Tests [PDF]

, 2012
This thesis considers Nonparametric Predictive Inference (NPI) for ordinal data and accuracy of diagnostic tests. We introduce NPI for ordinal data, which are categor- ical data with an ordering of the categories.
ALI, FAIZA,FARAG
core