Estimating the stillbirth rate for 195 countries using a Bayesian sparse regression model with temporal smoothing-Reference-Cited by-同舟云学术

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Estimating the stillbirth rate for 195 countries using a Bayesian sparse regression model with temporal smoothing

Published:2022-12-01 Issue:4 Volume:16 Page:
ISSN:1932-6157
Container-title:The Annals of Applied Statistics
language:
Short-container-title:Ann. Appl. Stat.

Author:

Wang Zhengfan¹,Fix Miranda J.²,Hug Lucia³,Mishra Anu³,You Danzhen³,Blencowe Hannah⁴,Wakefield Jon²,Alkema Leontine¹

Affiliation:

1. Department of Biostatistics and Epidemiology, University of Massachusetts Amherst

2. Department of Biostatistics, University of Washington

3. Division of Data, Analytics, Planning and Monitoring, UNICEF

4. London School of Hygiene and Tropical Medicine, University of London

Publisher

Institute of Mathematical Statistics

Subject

Statistics, Probability and Uncertainty,Modeling and Simulation,Statistics and Probability

Reference28 articles.

1. EILERS, P. H. C. and MARX, B. D. (1996). Flexible smoothing with B-splines and penalties. Statist. Sci. 11 89–121. With comments and a rejoinder by the authors.

2. STAN DEVELOPMENT TEAM (2018). RStan: The R interface to Stan. R package version 2.18.2.

3. AHMED, I., ALI, S. M., AMENGA-ETEGO, S., ARIFF, S., BAHL, R., BAQUI, A. H., BEGUM, N., BHANDARI, N., BHATIA, K. et al. (2018). Population-based rates, timing, and causes of maternal deaths, stillbirths, and neonatal deaths in south Asia and sub-Saharan Africa: A multi-country prospective cohort study. The Lancet Global Health 6 e1297–e1308.

4. ALKEMA, L., ZHANG, S., CHOU, D., GEMMILL, A., MOLLER, A.-B., FAT, D. M., SAY, L., MATHERS, C. and HOGAN, D. (2017). A Bayesian approach to the global estimation of maternal mortality. Ann. Appl. Stat. 11 1245–1274.

5. BLENCOWE, H., COUSENS, S., JASSIR, F. B., SAY, L., CHOU, D., MATHERS, C., HOGAN, D., SHIEKH, S., QURESHI, Z. U. et al. (2016). National, regional, and worldwide estimates of stillbirth rates in 2015, with trends from 2000: A systematic analysis. The Lancet Global Health 4 e98–e108.

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1. Estimating the proportion of modern contraceptives supplied by the public and private sectors using a Bayesian hierarchical penalized spline model;Journal of the Royal Statistical Society Series A: Statistics in Society;2024-05-27

2. Estimating the timing of stillbirths in countries worldwide using a Bayesian hierarchical penalized splines regression model;Journal of the Royal Statistical Society Series C: Applied Statistics;2024-03-27

3. National, regional, and global estimates of preterm birth in 2020, with trends from 2010: a systematic analysis;The Lancet;2023-10

4. Measuring stillbirth and perinatal mortality rates through household surveys: a population-based analysis using an integrated approach to data quality assessment and adjustment with 157 surveys from 53 countries;The Lancet Global Health;2023-06

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