Gaussian process emulation to improve efficiency of computationally intensive multidisease models: a practical tutorial with adaptable R code

被引：0
作者：
Sharon Jepkorir Sawe
Richard Mugo
Marta Wilson-Barthes
Brianna Osetinsky
Stavroula A. Chrysanthopoulou
Faith Yego
Ann Mwangi
Omar Galárraga
机构：
[1] University of Rwanda,African Center of Excellence in Data Science
[2] Academic Model Providing Access to Healthcare,Department of Epidemiology
[3] Brown University School of Public Health,Department of Epidemiology and Public Health
[4] Swiss Tropical and Public Health Institute,Department of Biostatistics
[5] Brown University School of Public Health,Department of Health Policy Management & Human Nutrition
[6] Moi University School Public Health,Department of Mathematics, Physics & Computing, School of Science and Aerospace Studies
[7] Moi University,Department of Health Services, Policy and Practice, and International Health Institute
[8] Brown University School of Public Health,undefined
来源：
BMC Medical Research Methodology | / 24卷
关键词：
Tutorial; Emulation; Gaussian process; Bayesian analysis; HIV; Hypertension; Depression;
D O I：
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