Bayesian nested latent class models for cause-of-death assignment using verbal autopsies across multiple domains-Reference-Cited by-同舟云学术

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Bayesian nested latent class models for cause-of-death assignment using verbal autopsies across multiple domains

Published:2024-06-01 Issue:2 Volume:18 Page:
ISSN:1932-6157
Container-title:The Annals of Applied Statistics
language:
Short-container-title:Ann. Appl. Stat.

Author:

Li Zehang Richard¹,Wu Zhenke²,Chen Irena³,Clark Samuel J.⁴

Affiliation:

1. Department of Statistics, University of California, Santa Cruz

2. Department of Biostatistics, University of Michigan

3. Department of Digital and Computational Demography, Max Planck Institute for Demographic Research

4. Department of Sociology, The Ohio State University

Publisher

Institute of Mathematical Statistics

Reference64 articles.

1. De Vito, R., Bellio, R., Trippa, L. and Parmigiani, G. (2019). Multi-study factor analysis. Biometrics 75 337–346.

2. Zhou, J., Bhattacharya, A., Herring, A. H. and Dunson, D. B. (2015). Bayesian factorizations of big sparse tensors. J. Amer. Statist. Assoc. 110 1562–1576.

3. DUNSON, D. B. and XING, C. (2009). Nonparametric Bayes modeling of multivariate categorical data. J. Amer. Statist. Assoc. 104 1042–1051.

4. ZIGLER, C. M., WATTS, K., YEH, R. W., WANG, Y., COULL, B. A. and DOMINICI, F. (2013). Model feedback in Bayesian propensity score estimation. Biometrics 69 263–273.

5. LUNN, D., BEST, N., SPIEGELHALTER, D., GRAHAM, G. and NEUENSCHWANDER, B. (2009). Combining MCMC with ‘sequential’ PKPD modelling. J. Pharmacokinet. Pharmacodyn. 36 19–38.

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