Comparing Insulin Against Glucagon-Like Peptide-1 Receptor Agonists, Dipeptidyl Peptidase-4 Inhibitors, and Sodium-Glucose Cotransporter 2 Inhibitors on 5-Year Incident Heart Failure Risk for Patients With Type 2 Diabetes Mellitus: Real-World Evidence Study Using Insurance Claims.

Autor: Wang X; Department of Population Health Sciences, University of Utah, Salt Lake City, UT, United States., Plantinga AM; Department of Mathematics and Statistics, Williams College, Williamstown, MA, United States., Xiong X; Department of Biostatistics, Harvard University, 677 Huntington Avenue, Boston, MA, 02115, United States, 1 617-432-4923., Cromer SJ; Department of Medicine, Massachusetts General Hospital, Boston, MA, United States., Bonzel CL; Department of Biomedical Informatics, Harvard University, Boston, MA, United States., Panickan V; Department of Biomedical Informatics, Harvard University, Boston, MA, United States., Duan R; Department of Biostatistics, Harvard University, 677 Huntington Avenue, Boston, MA, 02115, United States, 1 617-432-4923., Hou J; Department of Biostatistics, University of Minnesota, Minneapolis, MN, United States., Cai T; Department of Biostatistics, Harvard University, 677 Huntington Avenue, Boston, MA, 02115, United States, 1 617-432-4923.

Publikováno v: JMIR diabetes [JMIR Diabetes] 2024 Oct 22; Vol. 9, pp. e58137. Date of Electronic Publication: 2024 Oct 22.

Exploration of associations among dietary tryptophan, microbiome composition and function, and symptom severity in irritable bowel syndrome.

Autor: Plantinga AM; Department of Mathematics and Statistics, Williams College, Williamstown, Massachusetts, USA., Kamp KJ; Department of Biobehavioral Nursing and Health Informatics, University of Washington, Seattle, Washington, USA., Wu Q; Department of Pathology and Immunology, Baylor College of Medicine and Texas Children's Microbiome Center, Houston, Texas, USA.; Department of Pathology, Texas Children's Hospital, Houston, Texas, USA., Chen L; Department of Biobehavioral Nursing and Health Informatics, University of Washington, Seattle, Washington, USA., Yoo L; Department of Biobehavioral Nursing and Health Informatics, University of Washington, Seattle, Washington, USA., Burr RL; Department of Biobehavioral Nursing and Health Informatics, University of Washington, Seattle, Washington, USA., Cain KC; Department of Biobehavioral Nursing and Health Informatics, University of Washington, Seattle, Washington, USA., Raftery D; Northwest Metabolomics Research Center, Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, Washington, USA., Carnevale Neto F; Northwest Metabolomics Research Center, Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, Washington, USA., Badu S; Department of Pathology and Immunology, Baylor College of Medicine and Texas Children's Microbiome Center, Houston, Texas, USA.; Department of Pathology, Texas Children's Hospital, Houston, Texas, USA., So SY; Department of Pathology and Immunology, Baylor College of Medicine and Texas Children's Microbiome Center, Houston, Texas, USA.; Department of Pathology, Texas Children's Hospital, Houston, Texas, USA., Savidge T; Department of Pathology and Immunology, Baylor College of Medicine and Texas Children's Microbiome Center, Houston, Texas, USA.; Department of Pathology, Texas Children's Hospital, Houston, Texas, USA., Shulman RJ; Department of Pediatrics, Baylor College of Medicine, Houston, Texas, USA.; Children's Nutrition Research Center, United States Department of Agriculture, Houston, Texas, USA., Heitkemper MM; Department of Biobehavioral Nursing and Health Informatics, University of Washington, Seattle, Washington, USA.

Publikováno v: Neurogastroenterology and motility [Neurogastroenterol Motil] 2023 May; Vol. 35 (5), pp. e14545. Date of Electronic Publication: 2023 Feb 13.

Accommodating multiple potential normalizations in microbiome associations studies.

Autor: Song H; Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA., Ling W; Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA., Zhao N; Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA., Plantinga AM; Department of Mathematics and Statistics, Williams College, Williamstown, MA, USA., Broedlow CA; Division of Surgical Outcomes and Precision Medicine Research, Department of Surgery, University of Minnesota School of Medicine, Minneapolis, MN, USA., Klatt NR; Division of Surgical Outcomes and Precision Medicine Research, Department of Surgery, University of Minnesota School of Medicine, Minneapolis, MN, USA., Hensley-McBain T; McLaughlin Research Institute for Biomedical Sciences, Great Falls, MT, USA., Wu MC; Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA. mcwu@fredhutch.org.

Publikováno v: BMC bioinformatics [BMC Bioinformatics] 2023 Jan 19; Vol. 24 (1), pp. 22. Date of Electronic Publication: 2023 Jan 19.

Batch effects removal for microbiome data via conditional quantile regression.

Autor: Ling W; Public Health Sciences Division, Fred Hutchinson Cancer Center, 1100 Fairview Ave N, 98109, Seattle, USA., Lu J; Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, 615 N Wolfe St, 21205, Baltimore, USA., Zhao N; Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, 615 N Wolfe St, 21205, Baltimore, USA. nzhao10@jhu.edu., Lulla A; Nutrition Research Institute and Department of Nutrition, University of North Carolina, 500 Laureate Way, 28081, Kannapolis, USA., Plantinga AM; Department of Mathematics and Statistics, Williams College, 18 Hoxsey St, 01267, Williamstown, USA., Fu W; Department of Biostatistics, School of Public Health, University of Washington, 1705 NE Pacific St, 98195, Seattle, USA., Zhang A; Public Health Sciences Division, Fred Hutchinson Cancer Center, 1100 Fairview Ave N, 98109, Seattle, USA.; Department of Biostatistics, School of Public Health, University of Washington, 1705 NE Pacific St, 98195, Seattle, USA., Liu H; Public Health Sciences Division, Fred Hutchinson Cancer Center, 1100 Fairview Ave N, 98109, Seattle, USA.; Department of Biostatistics, School of Public Health, University of Washington, 1705 NE Pacific St, 98195, Seattle, USA., Song H; Public Health Sciences Division, Fred Hutchinson Cancer Center, 1100 Fairview Ave N, 98109, Seattle, USA., Li Z; Department of Biostatistics, College of Public Health & Health Professions, College of Medicine, University of Florida, 2004 Mowry Rd, 32611, Gainesville, USA., Chen J; Division of Biomedical Statistics and Informatics, Department of Health Sciences Research, Mayo Clinic, 200 First St SW, 55905, Rochester, USA., Randolph TW; Public Health Sciences Division, Fred Hutchinson Cancer Center, 1100 Fairview Ave N, 98109, Seattle, USA., Koay WLA; Children's National Hospital, 111 Michigan Ave NW, 20010, Washington DC, USA.; Department of Pediatrics, George Washington University, Ross Hall 2300 Eye St NW, 20037, Washington DC, USA., White JR; Resphera Biosciences, 1529 Lancaster St, 21231, Baltimore, USA., Launer LJ; Laboratory of Epidemiology and Population Science, NIA, NIH, 7201 Wisconsin Ave, 20814, Bethesda, USA., Fodor AA; Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, 9201 University City Blvd, 28223, Charlotte, USA., Meyer KA; Nutrition Research Institute and Department of Nutrition, University of North Carolina, 500 Laureate Way, 28081, Kannapolis, USA., Wu MC; Public Health Sciences Division, Fred Hutchinson Cancer Center, 1100 Fairview Ave N, 98109, Seattle, USA. mcwu@fredhutch.org.; Department of Biostatistics, School of Public Health, University of Washington, 1705 NE Pacific St, 98195, Seattle, USA. mcwu@fredhutch.org.

Publikováno v: Nature communications [Nat Commun] 2022 Sep 15; Vol. 13 (1), pp. 5418. Date of Electronic Publication: 2022 Sep 15.

A Kernel-based Test of Independence for Cluster-correlated Data.

Autor: Liu H; Department of Biostatistics, University of Washington., Plantinga AM; Department of Mathematics and Statistics, Williams College., Xiang Y; Department of Biostatistics, University of Washington., Wu MC; Public Health Sciences Division, Fred Hutchinson Cancer Research Center.

Publikováno v: Advances in neural information processing systems [Adv Neural Inf Process Syst] 2021 Dec; Vol. 34, pp. 9869-9881.