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
552016
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
402017
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
192019
Bayesian joint spike-and-slab graphical lasso
Z Li, T Mccormick, S Clark
International Conference on Machine Learning, 3877-3885, 2019
112019
Forecasting online auctions via self‐exciting point processes
NH Chan, ZR Li, CY Yau
Journal of Forecasting 33 (7), 501-514, 2014
112014
An expectation conditional maximization approach for Gaussian graphical models
ZR Li, TH McCormick
Journal of Computational and Graphical Statistics 28 (4), 767-777, 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
72018
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), 116, 2019
62019
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
6*2017
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
62017
openVA: Automated Method for Verbal Autopsy
ZR Li, T McCormick, S Clark
R Package Version 1 (8), 774, 2019
52019
Bayesian factor models for probabilistic cause of death assessment with verbal autopsies
T Kunihama, ZR Li, SJ Clark, TH McCormick
Annals of Applied Statistics 14 (1), 241-256, 2020
42020
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
42019
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
42017
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
42014
InSilicoVA: a method to automate cause of death assignment for verbal autopsy
SJ Clark, T Mccormick, Z Li, J Wakefield
42013
A model for COVID-19 transmission in Connecticut
O Morozova, ZR Li, FW Crawford
medRxiv, 2020
32020
InSilicoVA: Probabilistic Verbal Autopsy Coding with’InSilicoVA’Algorithm
Z Li, T McCormick, S Clark
R package version 1 (2), 2018
32018
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
32015
Non-confirming replication of “Performance of InSilicoVA for assigning causes of death to verbal autopsies: multisite validation study using clinical diagnostic gold standards …
ZR Li, TH McCormick, SJ Clark
BMC medicine 18 (1), 1-5, 2020
22020
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