Publications

Fengqing Chao, Vladimíra Kantorová, Giulia Gonnella, Lina Bassarsky, Lubov Zeifman, Patrick Gerland (2023). Estimating age-specific fertility rate in the World Population Prospects: A Bayesian modelling approach. In United Nations e Population Division of the Department of Economic and Social Affairs.

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Fengqing Chao, Bruno Masquelier, Danzhen You, Lucia Hug, Yang Liu, David Sharrow, Håvard Rue, Hernando Ombao, Leontine Alkema (2023). Web Appendix for Sex differences in mortality among children, adolescents, and youth aged 0-24: A systematic assessment of national, regional, and global trends from 1990 to 2021. figshare.

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Fengqing Chao, Bruno Masquelier, Danzhen You, Lucia Hug, Yang Liu, David Sharrow, Håvard Rue, Hernando Ombao, Leontine Alkema (2023). Sex differences in mortality among children, adolescents, and young people aged 0-24 years: a systematic assessment of national, regional, and global trends from 1990 to 2021. Lancet Global Health, 11(10) e1519-e1530.

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Fengqing Chao, Bruno Masquelier, Danzhen You, Lucia Hug, Yang Liu, David Sharrow, Håvard Rue, Hernando Ombao, Leontine Alkema (2023). Sex differences in survival chances among children, adolescents, and youth ages 0–24: A systematic assessment of national, regional, and global trends from 1990 to 2021.

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Fengqing Chao, Muhammad Asif Wazir, Hernando Ombao (2022). Levels and trends estimate of sex ratio at birth for seven provinces of Pakistan from 1980 to 2020 with scenario-based probabilistic projections of missing female birth to 2050: A Bayesian modeling approach. International Journal of Population Studies, 8(2) 51-70.

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Fengqing Chao (2022). Estimating and Projecting Prenatal Sex Discrimination around the World and on Subnational Level in Asia. In Population Association of Singapore Seminar.

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Fengqing Chao, Samir K.C., Hernando Ombao (2022). Estimation and probabilistic projection of levels and trends in the sex ratio at birth in seven provinces of Nepal from 1980 to 2050: a Bayesian modeling approach. BMC Public Health, 22(1) 358.

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Fengqing Chao, Samir K.C., Hernando Ombao (2022). Technical Appendix for Estimation and probabilistic projection of levels and trends in the sex ratio at birth in seven provinces of Nepal from 1980 to 2050: a Bayesian modeling approach. figshare.

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Fengqing Chao, Muhammad Asif Wazir, Hernando Ombao (2021). Web appendix for levels and trends in sex ratio at birth in provinces of Pakistan from 1980 to 2020 with scenario-based missing female birth projections to 2050: a Bayesian modeling approach. figshare.

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Fengqing Chao, Patrick Gerland, Alex R. Cook, Leontine Alkema (2021). Global estimation and scenario-based projections of sex ratio at birth and missing female births using a Bayesian hierarchical time series mixture model. Annals of Applied Statistics, 15(3) 1499-1528.

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Fengqing Chao (2021). “Sex Ratio of Mortality Rate Estimation Using a Bayesian Modeling Approach. In Joint Statistical Meeting.

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Fengqing Chao, Patrick Gerland, Alex R. Cook, Christophe Z. Guilmoto, Leontine Alkema (2021). Projecting sex imbalances at birth at global, regional and national levels from 2021 to 2100: scenario-based Bayesian probabilistic projections of the sex ratio at birth and missing female births based on 3.26 billion birth records. BMJ Global Health, 6(8) e005516.

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Fengqing Chao, Christophe Z. Guilmoto, Hernando Ombao (2021). Sex ratio at birth in Vietnam among six subnational regions during 1980-2050, estimation and probabilistic projection using a Bayesian hierarchical time series model with 2.9 million birth records. PLoS ONE, 16(7) e0253721.

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Fengqing Chao, Christophe Z. Guilmoto, Hernando Ombao (2021). S1 Appendix Sex ratio at birth in Vietnam among six subnational regions during 1980–2050, estimation and probabilistic projection using a Bayesian hierarchical time series model with 2.9 million birth records. figshare.

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Fengqing Chao (2021). Sex Ratio at Birth by Vietnamese Region Estimation and Projection, a Bayesian modeling approach. In ENAR Spring Meeting.

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Fengqing Chao, Patrick Gerland, Alex R. Cook, Christophe Z. Guilmoto, Leontine Alkema (2021). Web Appendix Projecting sex imbalances at birth at global, regional, and national levels from 2018 to 2100: scenario-based Bayesian probabilistic projections of the sex ratio at birth and missing female births. figshare.

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Fengqing Chao (2020). Estimating and Projecting Disparities in Pre- and Post-natal Survival using Bayesian Methods. In Yale-NUS Research Seminar.

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Fengqing Chao, Christophe Z. Guilmoto, Samir K.C., Hernando Ombao (2020). Probabilistic Projection of the Sex Ratio at Birth and Missing Female Births by State and Union Territory in India. PLoS ONE, 15(8) e0236673.

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Fengqing Chao (2020). Scenario-Based Bayesian Probabilistic Projections of the Sex Ratio at Birth and Missing Female Births. In Joint Statistical Meeting.

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Fengqing Chao, Christophe Z. Guilmoto, Samir K.C., Hernando Ombao (2020). S1 Appendix Probabilistic projection of the sex ratio at birth and missing female births by State and Union Territory in India. figshare.

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Fengqing Chao, Samir K.C., Hernando Ombao (2020). Technical Appendix Levels and trends in the sex ratio at birth in seven provinces of Nepal between 1980 and 2016 with probabilistic projections to 2050: a Bayesian modeling approach. figshare.

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Christophe Z. Guilmoto, Fengqing Chao, Purushottam M. Kulkarni (2020). On the estimation of female births missing due to prenatal sex selection. Population Studies, 74(2) 283–289.

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Fengqing Chao, Danzhen You, Lucia Hug, Jon Pedersen, Hernando Ombao, Leontine Alkema (2020). A Systematic Assessment of National Under-5 Mortality Rate by Place of Residence for 109 Countries. In PAA.

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Peter Brown, RELISH Consortium, Yaoqi Zhou (2019). Large expert-curated database for benchmarking document similarity detection in biomedical literature search. Database, 2019 baz085.

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United Nations Inter-Agency Group for Child Mortality Estimation (UN IGME) (2019). Explanatory Notes: Child mortality trend series to 2018. In United Nations Inter-agency Group for Child Mortality Estimation.

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Fengqing Chao, Ajit Kumar Yadav (2019). Levels and trends in the sex ratio at birth and missing female births for 29 states and union territories in India 1990-2016: A Bayesian modeling study. Foundations of Data Science, 1(2) 177–196.

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Fengqing Chao, Patrick Gerland, Alex R. Cook, Leontine Alkema (2019). Web Appendix Systematic assessment of the sex ratio at birth for all countries and estimation of national imbalances and regional reference levels.

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Fengqing Chao, Patrick Gerland, Alex R. Cook, Leontine Alkema (2019). Systematic assessment of the sex ratio at birth for all countries and estimation of national imbalances and regional reference levels. Proceedings of the National Academy of Sciences, 116(19) 9303–9311.

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Christopher Gee, Yvonne Arivalagan, Fengqing Chao (2018). Singapore Perspectives 2018: Together. In World Scientific.

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Fengqing Chao, Danzhen You, Jon Pedersen, Lucia Hug, Leontine Alkema (2018). Web appendix: National and regional under-5 mortality rate by economic status for low-income and middle-income countries: a systematic assessment.

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Fengqing Chao, Danzhen You, Jon Pedersen, Lucia Hug, Leontine Alkema (2018). National and regional under-5 mortality rate by economic status for low-income and middle-income countries: a systematic assessment. The Lancet Global Health, 6(5) e535–e547.

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Fengqing Chao, Patrick Gerland, Alex R. Cook, Leontine Alkema (2018). A Systematic Assessment of National, Regional and Global Levels and Trends in the Sex Ratio at Birth and Identification of Countries With Outlying Levels. In PAA.

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United Nations Inter-Agency Group for Child Mortality Estimation (UN IGME) (2018). Explanatory Notes: Child mortality trend series to 2017. In United Nations Inter-agency Group for Child Mortality Estimation.

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Christopher Gee, Yvonne Arivalagan, Fengqing Chao (2018). Singapore Perspectives 2018 Conference Background Paper. In Institute of Policy Studies, Lee Kuan Yew School of Public Policy, National University of Singapore.

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Fengqing Chao (2017). Bayesian Methods for Estimating Global Health Indicators. In Saw Swee Hock School of Public Health, National University of Singapore.

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Fengqing Chao, Danzhen You, Jon Pedersen, Leontine Alkema (2017). A Systematic Assessment of National, and Regional Under-Five Mortality Rate by Wealth Quintiles and Identification of Countries with Outlying Levels Using a Bayesian Hierarchical Time Series Model. In PAA.

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Fengqing Chao, Leontine Alkema, Patrick Gerland (2016). A Systematic Assessment of National, Regional and Global Levels and Trends in the Sex Ratio at Birth and Identification of Countries with Outlying Levels. In PAA.

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Fengqing Chao, Leontine Alkema (2014). How informative are vital registration data for estimating maternal mortality? A Bayesian analysis of WHO adjustment data and parameters. Statistics and Public Policy, 1(1) 6–18.

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Leontine Alkema, Fengqing Chao, Danzhen You, Jon Pedersen, Cheryl C. Sawyer (2014). Supplementary appendix: National, regional, and global sex ratios of infant, child, and under-5 mortality and identification of countries with outlying ratios: a systematic assessment.

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Leontine Alkema, Fengqing Chao, Danzhen You, Jon Pedersen, Cheryl C. Sawyer (2014). National, regional, and global sex ratios of infant, child, and under-5 mortality and identification of countries with outlying ratios: a systematic assessment. The Lancet Global Health, 2(9) e521–e530.

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Leontine Alkema, Fengqing Chao, Cheryl C. Sawyer (2014). Gender Differences in Infant and Child Mortality: Estimation of Sex-Specific Mortality and an Assessment of Excess Female Deaths. In PAA.

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United Nations Inter-Agency Group for Child Mortality Estimation (UN IGME) (2013). Estimation method for child mortality Used in: Level and Trends of Child mortality - Report 2013. In United Nations Inter-agency Group for Child Mortality Estimation.

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Leontine Alkema, Fengqing Chao, Cheryl C. Sawyer (2013). Gender differences in infant and child mortality: Estimation and identification of countries with outlying levels or trends. In IUSSP.

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Fengqing Chao, Leontine Alkema (2013). How Informative are Vital Registration Data for Estimating Maternal Mortality? A Bayesian Analysis of WHO Adjustment Data and Parameters. In IUSSP.

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