Results 181 to 190 of about 179,170 (301)
Group Sequential Analysis of Incomplete Longitudinal Ordinal Data
Group sequential methods have been used for a correct application of interim analysis, which is conducted to allow for possibly early termination of a alinical trial for ethical, economical and administrative considerations.
Chen, Yi-Ju; Lin, Kuo-Chin; Lin, Jian-Jhih +1 more
core
Abstract Primary education teachers face increasing challenges in engaging diverse learners and fostering creativity, digital competence and other transversal skills, often lacking clear, practical guidance for integrating these skills into their classrooms.
Nella Escala +2 more
wiley +1 more source
Evaluating Imputation-Based Fit Statistics in Structural Equation Modeling With Ordinal Data: The MI2S Approach. [PDF]
Sriutaisuk S +4 more
europepmc +1 more source
Sequential Requisites Analysis: A New Method for Analyzing Sequential Relationships in Ordinal Data. [PDF]
Lindenfors P, Krusell J, Lindberg SI.
europepmc +1 more source
Clustering repeated ordinal data
Model based approaches to cluster continuous and cross-sectional data are abundant and well established. In contrast to that, equivalent approaches for repeated ordinal data are less common and an active area of research.
Costilla Monteagudo, Roy Ken
core
Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) – Cas9‐based genome editing has emerged as a widely used tool across various disciplines, ranging from molecular biology to gene therapy. This revolutionary technology, which enables precise gene editing, represents a significant advancement in biotechnology, opening new frontiers for ...
Ali Mertcan Köse +3 more
wiley +1 more source
Dimensionality assessment in ordinal data: a comparison between parallel analysis and exploratory graph analysis. [PDF]
Markos A, Tsigilis N.
europepmc +1 more source
ABSTRACT Correctly setting and reading a manual air displacement micropipette is an essential yet challenging skill for life‐science students. The incorrect delivery of volumes affects both experimental outcomes and data interpretation, potentially reducing student confidence in the laboratory.
Maurizio Costabile, Beth Loveys
wiley +1 more source
Biclustering Models for Two-Mode Ordinal Data. [PDF]
Matechou E +4 more
europepmc +1 more source
ABSTRACT Recent methodological development in phylogenetic inference has focused predominantly on molecular data. However, renewed interest in other data types, particularly morphological data, has followed from the increased recognition of the power of total evidence and tip‐dating approaches, including fossil data, for inference of time‐scaled trees ...
Melanie J. Hopkins +9 more
wiley +1 more source

