Zobrazeno 1 - 10
of 78
pro vyhledávání: '"Koslovsky, Matthew"'
Publikováno v:
Statistics and Computing (2024)
Functional concurrent, or varying-coefficient, regression models are commonly used in biomedical and clinical settings to investigate how the relation between an outcome and observed covariate varies as a function of another covariate. In this work,
Externí odkaz:
http://arxiv.org/abs/2405.11358
Measurement error in multinomial data is a well-known and well-studied inferential problem that is encountered in many fields, including engineering, biomedical and omics research, ecology, finance, official statistics, and social sciences. Methods d
Externí odkaz:
http://arxiv.org/abs/2310.09345
Autor:
Koslovsky, Matthew D.
The Dirichlet-multinomial (DM) distribution plays a fundamental role in modern statistical methodology development and application. Recently, the DM distribution and its variants have been used extensively to model multivariate count data generated b
Externí odkaz:
http://arxiv.org/abs/2302.12283
Autor:
Van Ee, Justin, Hagen, Christian, Pavlacky, David, Fricke, Kent, Koslovsky, Matthew, Hooten, Mevin
Integrated models are a popular tool for analyzing species of conservation concern. Species of conservation concern are often monitored by multiple entities that generate several datasets. Individually, these datasets may be insufficient for guiding
Externí odkaz:
http://arxiv.org/abs/2211.12642
Publikováno v:
Statistics in Medicine (2023), vol. 42(17), pg. 2999-3015
Analyzing multivariate count data generated by high-throughput sequencing technology in microbiome research studies is challenging due to the high-dimensional and compositional structure of the data and overdispersion. In practice, researchers are of
Externí odkaz:
http://arxiv.org/abs/2209.11036
Autor:
Hoskovec, Lauren, Koslovsky, Matthew D., Koehler, Kirsten, Good, Nicholas, Peel, Jennifer L., Volckens, John, Wilson, Ander
Exposure to air pollution is associated with increased morbidity and mortality. Recent technological advancements permit the collection of time-resolved personal exposure data. Such data are often incomplete with missing observations and exposures be
Externí odkaz:
http://arxiv.org/abs/2204.06610
Publikováno v:
Annals of Applied Statistics, 14(4), 1878-1902 (2020)
The integration of mobile health (mHealth) devices into behavioral health research has fundamentally changed the way researchers and interventionalists are able to collect data as well as deploy and evaluate intervention strategies. In these studies,
Externí odkaz:
http://arxiv.org/abs/2009.09034
One of the major research questions regarding human microbiome studies is the feasibility of designing interventions that modulate the composition of the microbiome to promote health and cure disease. This requires extensive understanding of the modu
Externí odkaz:
http://arxiv.org/abs/2004.14817
Akademický článek
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Autor:
Hoskovec, Lauren1 (AUTHOR), Koslovsky, Matthew D.1 (AUTHOR), Koehler, Kirsten2 (AUTHOR), Good, Nicholas3 (AUTHOR), Peel, Jennifer L.3 (AUTHOR), Volckens, John4 (AUTHOR), Wilson, Ander1 (AUTHOR) ander.wilson@colostate.edu
Publikováno v:
Biometrics. Sep2023, Vol. 79 Issue 3, p2592-2604. 13p.
