Identifying and correcting bias in big crowd-sourced online genealogies M Chong, D Alburez-Gutierrez, E Del Fava, M Alexander, E Zagheni Max Planck Institute for Demographic Research, 2022 | 8 | 2022 |
Estimating the timing of stillbirths in countries worldwide using a Bayesian hierarchical penalized splines regression model MYC Chong, M Alexander Journal of the Royal Statistical Society Series C: Applied Statistics, qlae017, 2024 | 1 | 2024 |
Leaving for life: using online crowd-sourced genealogies to estimate the migrant mortality advantage for the United Kingdom and Ireland during the 18th and 19th centuries E Pojman, DE Mwedzi, O Olaya Bucaro, S Zhang, M Chong, M Alexander, ... Max Planck Institute for Demographic Research, 2023 | 1 | 2023 |
An Introduction to DoSStoolkit R Alexander, SJ Caetano, H Chen, M Chong, A Collins, S Deng, I Ehrlich, ... arXiv preprint arXiv:2105.09347, 2021 | 1 | 2021 |
Estimating causes of maternal death in data-sparse contexts M Alexander, MYC Chong, M Pejcinovska arXiv preprint arXiv:2101.05240, 2021 | 1 | 2021 |
Measuring short-term mobility patterns in North America using Facebook advertising data, with an application to adjusting COVID-19 mortality rates L Katz, M Chong, M Alexander Demographic Research 50, 291-324, 2024 | | 2024 |
Estimating causes of maternal death in data‐sparse contexts MYC Chong, M Pejchinovska, M Alexander Statistics in Medicine, 2024 | | 2024 |
Measuring short-term mobility patterns in North America using Facebook Advertising data, with an application to adjusting Covid-19 mortality rates L Katz, M Chong, M Alexander SocArXiv, 2023 | | 2023 |
Exploration of methods to estimate stateless populations M Alexander, M Chong | | |