Results 11 to 20 of about 523,434 (195)
Repeated measures ASCA+ for analysis of longitudinal intervention studies with multivariate outcome data [PDF]
PLoS Computational Biology, 2021 Longitudinal intervention studies with repeated measurements over time are an important type of experimental design in biomedical research. Due to the advent of “omics”-sciences (genomics, transcriptomics, proteomics, metabolomics), longitudinal studies ...
Torfinn S. Madssen +3 more
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Therapeutics and Clinical Risk Management, 2019 ShaoQing Li,1 BaoYang Zhang,2 Yong Shen,2 ZhanYong Wu11Department of Orthopedic Surgery, The Orthopedics Hospital of XingTai City, XingTai 054000, People’s Republic of China; 2Department of Orthopedic Surgery, The Third Hospital of Hebei Medical ...
Li S, Zhang B, Shen Y, Wu Z
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Exact Permutation and Bootstrap Distribution of Generalized Pairwise Comparisons Statistics
Mathematics, 2023 To analyze multivariate outcomes in clinical trials, several authors have suggested generalizations of the univariate Mann–Whitney test. As the Mann–Whitney statistic compares the subjects’ outcome pairwise, the multivariate generalizations are known as ...
William N. Anderson, Johan Verbeeck
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Regression Trees and Ensemble for Multivariate Outcomes
Sankhya B, 2023 Tree-based methods have become one of the most flexible, intuitive, and powerful analytic tools for exploring complex data structures. The best documented, and arguably most popular uses of tree-based methods are in biomedical research, where multivariateoutcomes occur commonly (e.g.
Evan L. Reynolds +3 more
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Journal of Orthopedics, Traumatology and Rehabilitation, 2022 Introduction: The aim of this study was to research factors affecting the short-term outcome of metal-on-metal hip resurfacing (MOMHR) and develop a multivariate regression model that may predict outcome.
Amrit Goyal +4 more
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Nonignorable item nonresponse in panel data
Statistical Theory and Related Fields, 2022 To estimate unknown population parameters based on panel data having nonignorable item nonresponse, we propose an innovative data grouping approach according to the number of observed components in the multivariate outcome $ \boldsymbol {y} $ when the ...
Sijing Li, Jun Shao
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Frontiers in Neurology, 2021 Objective: This study aimed to assess the association between neck circumference (NC) and functional outcome in intracerebral hemorrhage (ICH) patients.Methods: We prospectively analyzed data from ICH patients who received treatment at our institution ...
Yujian Li +6 more
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The Role of Secondary Outcomes in Multivariate Meta-Analysis [PDF]
Journal of the Royal Statistical Society Series C: Applied Statistics, 2018 SummaryUnivariate meta-analysis concerns a single outcome of interest measured across a number of independent studies. However, many research studies will have also measured secondary outcomes. Multivariate meta-analysis allows us to take these secondary outcomes into account and can also include studies where the primary outcome is missing.
White, IR +3 more
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Stroke: Vascular and Interventional Neurology, 2023 Introduction Endovascular thrombectomy (EVT) dramatically improves clinical outcomes, but the reduction in final infarct volume only accounts for 10‐15% of the treatment benefit.
Christopher G. Favilla +8 more
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Bayesian model checking for multivariate outcome data [PDF]
Computational Statistics & Data Analysis, 2009 Bayesian models are increasingly used to analyze complex multivariate outcome data. However, diagnostics for such models have not been well-developed. We present a diagnostic method of evaluating the fit of Bayesian models for multivariate data based on posterior predictive model checking (PPMC), a technique in which observed data are compared to ...
Catherine M. Crespi, W. John Boscardin
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