Joint hierarchical Gaussian process model with application to personalized prediction in medical monitoring-Reference-Cited by-同舟云学术

Joint hierarchical Gaussian process model with application to personalized prediction in medical monitoring

Author:

Duan Leo L.¹,Wang Xia²,Clancy John P.³,Szczesniak Rhonda D.⁴^ORCID

Affiliation:

1. Department of Statistical Science; Duke University; P.O. Box 90251 Durham 27708 NC USA

2. Department of Mathematical Sciences; University of Cincinnati; Cincinnati 45221 OH USA

3. Division of Pulmonary Medicine; Cincinnati Children's Hospital Medical Center; Cincinnati 45229 OH USA

4. Division of Biostatistics & Epidemiology; Cincinnati Children's Hospital Medical Center; 3333 Burnet Ave (MLC 5041) Cincinnati 45229 OH USA

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

Reference23 articles.

3. Spirometric reference values from a sample of the general U.S. population;Hankinson;American Journal of Respiratory & Critical Care Medicine,1999

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