Zehang Richard Li
Zehang Richard Li
ucsc.edu üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Probabilistic cause-of-death assignment using verbal autopsies
TH McCormick, ZR Li, C Calvert, AC Crampin, K Kahn, SJ Clark
Journal of the American Statistical Association 111 (515), 1036-1049, 2016
582016
Trends in the burden of HIV mortality after roll-out of antiretroviral therapy in KwaZulu-Natal, South Africa: an observational community cohort study
G Reniers, S Blom, C Calvert, A Martin-Onraet, AJ Herbst, JW Eaton, J Bor, ...
The Lancet HIV 4 (3), e113-e121, 2017
482017
Changes in the spatial distribution of the under-five mortality rate: Small-area analysis of 122 DHS surveys in 262 subregions of 35 countries in Africa
Z Li, Y Hsiao, J Godwin, BD Martin, J Wakefield, SJ Clark, ...
PloS one 14 (1), e0210645, 2019
33*2019
Bayesian joint spike-and-slab graphical lasso
Z Li, T Mccormick, S Clark
International Conference on Machine Learning, 3877-3885, 2019
132019
An expectation conditional maximization approach for Gaussian graphical models
ZR Li, TH McCormick
Journal of Computational and Graphical Statistics 28 (4), 767-777, 2019
102019
Using Bayesian latent Gaussian graphical models to infer symptom associations in verbal autopsies
ZR Li, TH McCormick, SJ Clark
arXiv preprint arXiv:1711.00877, 2017
10*2017
Forecasting online auctions via self‐exciting point processes
NH Chan, ZR Li, CY Yau
Journal of Forecasting 33 (7), 501-514, 2014
102014
Automated versus physician assignment of cause of death for verbal autopsies: randomized trial of 9374 deaths in 117 villages in India
P Jha, D Kumar, R Dikshit, A Budukh, R Begum, P Sati, P Kolpak, R Wen, ...
BMC medicine 17 (1), 1-11, 2019
82019
Quantifying the contributions of training data and algorithm logic to the performance of automated cause-assignment algorithms for Verbal Autopsy
SJ Clark, Z Li, TH McCormick
arXiv preprint arXiv:1803.07141, 2018
82018
InterVA4: An R package to analyze verbal autopsy data
ZR Li, TH McCormick, SJ Clark
Center for Statistics and the Social Sciences, University of Washington …, 2014
82014
One year of modeling and forecasting COVID-19 transmission to support policymakers in Connecticut
O Morozova, ZR Li, FW Crawford
medRxiv, 2021
72021
Suspected heroin-related overdoses incidents in Cincinnati, Ohio: A spatiotemporal analysis
ZR Li, E Xie, FW Crawford, JL Warren, K McConnell, JT Copple, ...
PLoS medicine 16 (11), e1002956, 2019
72019
Tuberculosis mortality and the male survival deficit in rural South Africa: An observational community cohort study
G Reniers, S Blom, J Lieber, AJ Herbst, C Calvert, J Bor, T Barnighausen, ...
PloS one 12 (10), e0185692, 2017
72017
SUMMER: Spatio-temporal under-five mortality methods for estimation
BD Martin, ZR Li, Y Hsiao, J Godwin, J Wakefield, SJ Clark
R package version 0.1. 0, 2017
72017
Supplementary material
W Liu, Y Agam, JR Madsen, G Kreiman
7*2013
Bayesian factor models for probabilistic cause of death assessment with verbal autopsies
T Kunihama, ZR Li, SJ Clark, TH McCormick
The annals of applied statistics 14 (1), 241, 2020
52020
openVA: Automated Method for Verbal Autopsy
ZR Li, T McCormick, S Clark
R package version 1 (8), 2019
52019
InSilicoVA: a method to automate cause of death assignment for verbal autopsy
SJ Clark, T Mccormick, Z Li, J Wakefield
52013
Insilicova: A method to automate cause of death assignment for verbal autopsy
SJ Clark, T McCormick, Z Li, J Wakefield
arXiv preprint arXiv:1504.02129, 2015
42015
Estimating seroprevalence of SARS-CoV-2 in Ohio: A Bayesian multilevel poststratification approach with multiple diagnostic tests
D Kline, Z Li, Y Chu, J Wakefield, WC Miller, AN Turner, SJ Clark
Proceedings of the National Academy of Sciences 118 (26), 2021
3*2021
Sistem, işlemi şu anda gerçekleştiremiyor. Daha sonra yeniden deneyin.
Makaleler 1–20