Predicting clinical binary outcome using multivariate longitudinal data: Application to patients with newly diagnosed primary open-angle glaucoma

Authors

Feng Gao, Washington University School of Medicine in St. Louis
J. Philip Miller, Washington University School of Medicine in St. Louis
Julia A. Beiser, Washington University School of Medicine in St. Louis
Chengjie Xiong, Washington University School of Medicine in St. Louis
Mae O. Gordon, Washington University School of Medicine in St. Louis

Journal

Biometrics & Biostatistics

Publication Date

2015

Volume

6

Issue

4

Document Type

Open Access Publication

DOI

10.4172/2155-6180.1000254

Rights and Permissions

Citation: Gao F, Miller JP, Beiser JA, Xiong C, Gordon MO (2015) Predicting Clinical Binary Outcome Using Multivariate Longitudinal Data: Application to Patients with Newly Diagnosed Primary Open-Angle Glaucoma. J Biom Biostat 6:254. doi:10.4172/2155-6180.1000254 Copyright: © 2015 Gao F, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Recommended Citation

Gao, Feng; Miller, J. Philip; Beiser, Julia A.; Xiong, Chengjie; and Gordon, Mae O., "Predicting clinical binary outcome using multivariate longitudinal data: Application to patients with newly diagnosed primary open-angle glaucoma." Biometrics & Biostatistics. 6, 4. (2015).
https://digitalcommons.wustl.edu/open_access_pubs/5082