Zehang Richard Li

Assistant Professor
Department of Statistics
University of California Santa Cruz

Email: lizehang (at) ucsc.edu
Google Scholar: Zehang Richard Li
Github: @richardli
Twitter: @z_richard_li

about     publications     people     teaching     software     vita     misc    

Note: Highlighted are student advisees.

Preprints

1. Toward a principled workflow for prevalence mapping using household survey data,
   Qianyu Dong, Yunhan Wu, Zehang Richard Li, and Jon Wakefield.
   Working paper, 2024.

2. Hierarchical latent class models for mortality surveillance using partially verified verbal autopsies,
   Yu Zhu and Zehang Richard Li.
   Working paper, 2024.

3. Spatially selected and dependent random effects for small area estimation,
   Sho Kawano, Paul A Parker, and Zehang Richard Li.
   Working paper, 2024.

4. Bayesian analysis of verbal autopsy data using factor models with age- and sex-dependent associations between symptoms,
   Tsuyoshi Kunihama, Zehang Richard Li, Samuel J Clark, and Tyler H McCormick.
   Working paper, 2024.

5. The two cultures for prevalence mapping: small area estimation and spatial statistics,
   Jon Wakefield, Peter A Gao, Geir-Arne Fuglstad, and Zehang Richard Li.
   Working paper, 2022. [codes]

6. Space-time smoothing of demographic and health indicators using the R package SUMMER,
   Zehang Richard Li, Bryan D Martin, Tracy Qi Dong, Geir-Arne Fuglstad, Jessica Godwin, John Paige, Andrea Riebler, Samuel Clark, and Jon Wakefield.
   Working paper, 2020. [software]

7. Verbal autopsy in Civil Registration and Vital Statistics: the symptom-cause information archive,
   Samuel J. Clark, Martin W. Bratschi, Philip Setel, Carla Abouzahr, Don de Savigny, Zehang Richard Li, Tyler McCormick, Peter Byass, and Daniel Chandramohan.
   Working paper, 2019.

Publications

1. Tree-informed Bayesian multi-source domain adaptation: cross-population probabilistic cause-of-death assignment using verbal autopsy,
   Zhenke Wu, Zehang Richard Li, Irena Chen, and Mengbing Li.
   Biostatistics, 2024. [arXiv, software]

2. Bayesian nested latent class models for cause-of-death assignment using verbal autopsies across multiple domains,
   Zehang Richard Li, Zhenke Wu, Irena Chen, and Samuel Clark.
   Annals of Applied Statistics, 2024. [arXiv, software]

3. Agreement between cause of death assignment by computer-coded verbal autopsy methods and physician coding of verbal autopsy interviews in South Africa,
   Pam Groenewald, Jason Thomas, Samuel J Clark, Diane Morof, Jané D. Joubert, Chodziwadziwa Kabudula, Zehang Richard Li, and Debbie Bradshaw.
   Global Health Action, 2023.

4. Bayesian active questionnaire design for cause-of-death assignment using verbal autopsies,
   Toshiya Yoshida, Trinity Shuxian Fan, Tyler McCormick, Zhenke Wu, and Zehang Richard Li
   CHIL 2023. [arXiv, software]

5. The openVA toolkit for verbal autopsies,
   Zehang Richard Li, Jason Thomas, Eungang Choi, Tyler H McCormick, and Samuel J Clark.
   The R Journal, 2023. [arXiv, software]

6. Estimating causes of death where there is no medical certification: Evolution and state of the art of verbal autopsy,
   Daniel Chandramohan, Edward Fottrell, Jordana Leitao, Erin Nichols, Samuel J. Clark, Carine Alsokhn, Daniel Cobos Munoz, Carla AbouZahr, Aurelio Di Pasquale, Robert Mswia, Eungang Choi, Frank Baiden, Jason Thomas, Isaac Lyatuu, Zehang Richard Li, Patrick Larbi-Debrah, Yue Chu, Samuel Cheburet, Osman Sankoh, Azza Mohamed Bad, Doris Ma Fat, Philip Setel, Robert Jakob, and Don de Savigny.
   Global Health Action, 2022.

7. Impact of close interpersonal contact on COVID-19 incidence: evidence from one year of mobile device data,
   Forrest W. Crawford, Sydney A. Jones, Matthew Cartter, Samantha G. Dean, Joshua L. Warren, Zehang Richard Li, Jacqueline Barbieri, Jared Campbell, Patrick Kenney, Thomas Valleau, and Olga W. Morozova.
   Science Advances, 2022. [medRxiv]

8. Prevalence of current and past COVID-19 in Ohio adults,
   Abigail Norris Turner, David Kline, Alison Norris, W. Gene Phillips, Elisabeth Root, Jonathan Wakefield, Zehang Richard Li, Stanley Lemeshow, Morgan Spahnie, Amanda Luff, Yue Chu, Mary Kate Francis, Maria Gallo, Payal Chakraborty, Megan Lindstrom, Gerard Lozanski, William Miller, and Samuel Clark.
   Annals of Epidemiology, 2021.

9. Spatial modeling for subnational administrative level 2 small-area estimation,
   Yunhan Wu, Zehang Richard Li, Benjamin K. Mayala, Houjie Wang, Peter Gao, Johnny Paige, Geir-Arne Fuglstad, Caitlin Moe, Jessica Godwin, Rose E. Donohue, Trevor N. Croft, and Jon Wakefield.
   DHS Spatial Analysis Reports, 2021. [codes]

10. One year of modeling and forecasting COVID-19 transmission to support policymakers in Connecticut,
    Olga Morozova, Zehang Richard Li, and Forrest W Crawford.
    Scientific Reports, 2021. [medRxiv, website]

11. Estimating seroprevalence of SARS-CoV-2 coronavirus in Ohio: a Bayesian multilevel regression and poststratification approach with multiple imperfect diagnostic tests,
    David Kline, Zehang Richard Li, Yue Chu, Jon Wakefield, William C. Miller, Abigail Norris Turner and Samuel Clark.
    PNAS, 2021. [arXiv, codes]

12. Using Bayesian latent Gaussian graphical models to infer symptom associations in verbal autopsies,
    Zehang Richard Li, Tyler H McCormick, and Samuel J Clark.
    Bayesian Analysis, 2020. [arXiv, codes]

13. Bayesian factor models for probabilistic cause of death assessment with verbal autopsies,
    Tsuyoshi Kunihama, Zehang Richard Li, Samuel J Clark, and Tyler H McCormick.
    Annals of Applied Statistics, 2020. [arXiv, codes]

14. Non-confirming replication of "Performance of InSilicoVA for assigning causes of death to verbal autopsies: multisite validation study using clinical diagnostic gold standards",
    Zehang Richard Li, Tyler H McCormick, and Samuel J Clark.
    BMC Medicine, 2020. [codes]

15. Bayesian joint spike-and-slab graphical lasso,
    Zehang Richard Li, Tyler H McCormick, and Samuel J Clark.
    Proceedings of the 36th International Conference on Machine Learning (ICML), 2019. [arXiv, codes]

16. An Expectation Conditional Maximization approach for Gaussian graphical models,
    Zehang Richard Li, and Tyler H McCormick.
    Journal of Computational and Graphical Statistics, 2019. [arXiv, codes]

17. Suspected heroin-related overdose incidents in Cincinnati, Ohio: A spatiotemporal analysis,
    Zehang Richard Li, Evaline Xie, Forrest W Crawford, Joshua L Warren, Kathryn McConnel, Tyler Copple, Tyler Johnson, and Gregg S Gonsalves.
    PLoS Medicine, 2019. [codes]

18. 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,
    Zehang Richard Li, Jessica Godwin, Yuan Hsiao, Bryan Martin, Jon Wakefield, and Samuel J Clark.
    PLoS One, 2019. [software, codes, slides]

19. Automated versus physician assignment of cause of death for verbal autopsies: randomized trial of 9374 deaths in 117 villages in India,
    Prabhat Jha, Dinesh Kumar, Rajesh Dikshit, Atul Budukh, Rehana Begum, Prabha Sati, Patrycja Kolpak, Richard Wen, Shyamsundar J Raithatha, Utkarsh Shah, Zehang Richard Li, Lukasz Aleksandrowicz, Prakash Shah, Kapila Piyasena, Tyler H McCormick, Hellen Gelband and Samuel J Clark
    BMC Medicine, 2019.

20. Trends in the burden of HIV mortality after roll-out of antiretroviral therapy in KwaZulu-Natal, South Africa: an observational community cohort study,
    Georges Reniers, Sylvia Blom, Clara Calvert, Alexandra Martin-Onraet, Abraham J Herbst, Jeffrey W Eaton, Jacob Bor, Emma Slaymaker, Zehang Richard Li, and Samuel J Clark.
    The Lancet HIV, 2017.

21. Tuberculosis mortality and the male survival deficit in rural South Africa: an observational community cohort study,
    Georges Reniers, Sylvia Blom, Judith Lieber, Abraham J. Herbst, Clara Calvert, Jacob Bor, Till Barnighausen, Basia Zaba, Zehang Richard Li, Samuel J. Clark, Alison D. Grant, Richard Lessells, Jeffrey W. Eaton, Victoria Hosegood.
    PLoS One, 2017.

22. Probabilistic cause-of-death assignment using verbal autopsies,
    Tyler H McCormick, Zehang Richard Li, Clara Calvert, Amelia Crampin, Kathleen Kahn, and Samuel J Clark.
    Journal of the American Statistical Association, 2016. [arXiv, software, poster]

23. Forecasting online auctions via self-exciting point processes,
    Ngai Hang Chan, Zehang Richard Li, and Chun Yip Yau.
    Journal of Forecasting, 2015. [codes]

Technical notes and vignettes

1. Treatment effect estimation amidst dynamic network interference in online gaming experiments,
   Yu Zhu, Zehang Richard Li, Yang Su, and Zhenyu Zhao.
   Conference on Digital Experimentation @ MIT (CODE@MIT), Oral Presentation, 2024.

2. COVID-19 projections for reopening Connecticut,
   Forrest W Crawford, Zehang Richard Li, and Olga Morozova.
   Working paper, 2020. [website]

3. Quantifying the contributions of training data and algorithm logic to the performance of automated cause-assignment algorithms for verbal autopsy,
   Samuel J Clark, Zehang Richard Li, and Tyler H McCormick,
   Working paper, 2017.

4. InterVA4: an R package to analyze verbal autopsy Data,
   Zehang Richard Li, Tyler H McCormick, and Samuel J Clark.
   CSSS Working Paper, No.146, 2014. [software]