This paper presents a general statistical methodology for the analysis of multivariate categorical data arising from observer reliability studies. The procedure essentially involves the construction ...
Multivariate analysis has become a major statistical tool for medical research. It is most commonly used for adjustment — the process of correcting the main effect for multiple variables that confound ...
Journal of the Royal Statistical Society. Series A (Statistics in Society), Vol. 181, No. 3 (2018), pp. 635-647 (13 pages) Statistical agencies are increasingly adopting synthetic data methods for ...
A topic that's often very confusing for beginners when using neural networks is data normalization and encoding. Because neural networks work internally with numeric data, binary data (such as sex, ...
Manipulation of categorical data edits and error localization with the editrules package 20/12/2011 15:00 ...
Data from 13 trials (5,480 patients with metastatic breast cancer, non–small-cell lung cancer, or colorectal cancer) were randomly split (60:40) into training and validation data sets. In all, 27 ...
LONDON and NEW YORK, July 10, 2024 (GLOBE NEWSWIRE) -- OKYO Pharma Limited (NASDAQ: OKYO), a clinical-stage biopharmaceutical company developing innovative ocular therapies for the treatment of ...
Arena Pharmaceuticals Announces Lorcaserin Data Demonstrating Highly Significant Categorical and Absolute Weight Loss and Improvements in Secondary Endpoints Associated with Cardiovascular Risk -- ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback