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Three-way ROC analysis using SAS Software
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, 2013 The most commonly used measure of model accuracy in medicine with three categories of target variable is the volume under ROC surface (VUS), which is the extension of the area under curve (AUC) for binary models (Le and Lili, 2013).
Juraj Kapasný, Martin Řezáč
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Matching Cases and Controls Using SAS® Software [PDF]
Frontiers in Big Data, 2019 Matching is frequently used in observational studies, especially in medical research. However, only a small number of articles with matching programs for the SAS software (SAS Institute Inc., Cary, NC, USA) are available, even less are usable for inexperienced users of SAS software.
Laura Quitzau Mortensen +2 more
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Data management for prospective research studies using SAS® software [PDF]
BMC Medical Research Methodology, 2008 Background Maintaining data quality and integrity is important for research studies involving prospective data collection. Data must be entered, erroneous or missing data must be identified and corrected if possible, and an audit trail created.
Mehr David R, Kruse Robin L
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Timed-SAS: Modeling and Analyzing the Time Behaviors of Self-Adaptive Software under Uncertainty
Applied Sciences, 2023 Self-adaptive software (SAS) is gaining in popularity as it can handle dynamic changes in the operational context or in itself. Time behaviors are of vital importance for SAS systems, as the self-adaptation loops bring in additional overhead time ...
Deshuai Han +4 more
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Multiple Imputation Using SAS Software
Journal of Statistical Software, 2011 Multiple imputation provides a useful strategy for dealing with data sets that have missing values. Instead of filling in a single value for each missing value, a multiple imputation procedure replaces each missing value with a set of plausible values ...
Yang Yuan
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Sichuan jingshen weisheng, 2021 The purpose of this article was to introduce the χ2 test for the data of four-fold tables collected from the cross-sectional design and the realization of SAS and R software.
Hu Chunyan, Hu Liangping
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Sichuan jingshen weisheng, 2021 The purpose of this paper was to introduce the χ2 test for the data of four-fold tables collected from the case-control design， the hypothesis test and interval estimation of odds ratio， and the implementation of SAS and R software.
Hu Chunyan, Hu Liangping
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Bayesian regression in SAS software [PDF]
International Journal of Epidemiology, 2012 Bayesian methods have been found to have clear utility in epidemiologic analyses involving sparse-data bias or considerable background information. Easily implemented methods for conducting Bayesian analyses by data augmentation have been previously described but remain in scant use.
Sheena G, Sullivan, Sander, Greenland
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Industrial Digital Twins based on the non-linear LATIN-PGD
Advanced Modeling and Simulation in Engineering Sciences, 2021 Digital Twins, which tend to intervene over the entire life cycle of products from early design phase to predictive maintenance through optimization processes, are increasingly emerging as an essential component in the future of industries. To reduce the
Philippe Barabinot +4 more
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Sichuan jingshen weisheng, 2021 The purpose of this paper was to introduce the CMH χ2 test and SAS software implementation of the three kinds of R×C contingency table data. The first type was called “two-way unordered R×C contingency table data”.
Hu Chunyan, Hu Liangping
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