The analysis of multivariate longitudinal data: A review [PDF]
Statistical Methods in Medical Research, 2012 Longitudinal experiments often involve multiple outcomes measured repeatedly within a set of study participants. While many questions can be answered by modeling the various outcomes separately, some questions can only be answered in a joint analysis of all of them.
VERBEKE, Geert +3 more
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Bayesian Semiparametric Regression Analysis of Multivariate Panel Count Data
Stats, 2022 Panel count data often occur in a long-term recurrent event study, where the exact occurrence time of the recurrent events is unknown, but only the occurrence count between any two adjacent observation time points is recorded.
Chunling Wang, Xiaoyan Lin
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Applied Multivariate Research, v.12 no.2 (complete version) [PDF]
, 2006 The journal Applied Multivariate Research is sponsored by the Society for Applied Multivariate Research and specializes in publishing methodological and content papers that deal with the application of both classical and more modem multivariate ...
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Insight into human pubertal growth by applying the QEPS growth model
BMC Pediatrics, 2017 Background Computerized mathematical models describing absolute and relative individual growth during puberty in both cm and standard deviation (SD)-scores are lacking.
Anton Holmgren +5 more
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Keeping it Short and Simple: Summarising Complex Event Sequences with Multivariate Patterns [PDF]
, 2016 We study how to obtain concise descriptions of discrete multivariate sequential data. In particular, how to do so in terms of rich multivariate sequential patterns that can capture potentially highly interesting (cor)relations between sequences.
Bertens, R. +11 more
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Applied Multivariate Research, v.12 no.3 (complete version) [PDF]
, 2007 The third issue of Applied Multivariate Research edited by Dennis L. JacksonThe article "Cluster analysis and rankings of Canadian universities: Misadventures with rank-based data and implications for the welfare of students" by Kenneth M.
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Enhancing Speech Emotions Recognition Using Multivariate Functional Data Analysis
Big Data and Cognitive Computing, 2023 Speech Emotions Recognition (SER) has gained significant attention in the fields of human–computer interaction and speech processing. In this article, we present a novel approach to improve SER performance by interpreting the Mel Frequency Cepstral ...
Matthieu Saumard
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Correlation Analysis for Exploring Multivariate Data Sets
IEEE Access, 2018 Correlation analysis is of great significance for exploring the multivariate data sets as it helps researchers toward an in-depth understanding of the complex interactions and relationships among variables.
Li Wang +3 more
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Reflections on univariate and multivariate analysis of metabolomics data [PDF]
, 2014 Metabolomics experiments usually result in a large quantity of data. Univariate and multivariate analysis techniques are routinely used to extract relevant information from the data with the aim of providing biological knowledge on the problem studied ...
Westerhuis, J.A.; id_orcid +6 more
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Book of Abstracts. V International Workshop on Proximity Data, Multivariate Analysis and Classification [PDF]
, 2023 s of the V International Workshop on Proximity Data, Multivariate Analysis and Classification. July 11-12, 2023 (Valladolid, Spain)
Sinova, Beatriz +22 more
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