Scholarly work

Notes: (*) indicates student/trainee; (+) indicates co-first authorship; (#) indicates senior authorship

Peer-reviewed articles

  1. Chong, M.Y.C.(*) and Alexander, M. ‘Estimating the timing of stillbirths in countries worldwide using a Bayesian hierarchical penalized splines regression model’. arXiv:2212.06219 (accepted, Journal of the Royal Statistical Society (JRSS) Series C).
  2. Katz, L.(*), Chong, M.(*), and Alexander, M.. ‘Measuring short-term mobility patterns in North America using Facebook Advertising data, with an application to adjusting Covid-19 mortality rates’. Demographic Research, 2024: 50(10), 291-394.
  3. Yeung, J.(*), Alexander, M., and Riffe, T. ‘Bayesian implementation of Rogers-Castro model migration schedules: An alternative technique for parameter estimation’. Demographic Research, 2023: 49(42), 1201-1228.
  4. Alexander, M., and Alkema, L., ‘A Bayesian cohort component projection model to estimate adult populations at the subnational level in data-sparse settings’, Demography, 2022: 59(5), 1713-1737.
  5. Maheu-Giroux, M., Sardinha, L., Stockl, H., Meyer, S., Godin, A., Alexander, M., and Garcia-Moreno, C. ‘A framework to model global, regional, and national estimates of intimate partner violence’, BMC Medical Research Methodology, 2022: 22(1), 1-17.
  6. Susmann, H., Alexander, M., and Alkema, L., Temporal models for demographic and global health outcomes in multiple populations: Introducing a new framework to review and standardize documentation of model assumptions and facilitate model comparison, International Statistical Review, 2022: 90(3), 437-467.
  7. Alexander, M.(+) and Root, L.(+) ‘Competing effects on the average age of infant death’. Demography, 2022: 59(2), 587-605.
  8. Kiang, M.V., Tsai A.C., Alexander M., Rehkopf D.H., Basu S. ‘Racial/Ethnic Disparities in Opioid-Related Mortality in the USA, 1999–2019: the Extreme Case of Washington DC.’ Journal of Urban Health, 2021: 98(6), 589.
  9. Wilson, T., Grossman, I., Alexander, M., Rees, P., and Temple, J. ‘Methods for small area population forecasts: state-of-the-art and research needs’, Population Research and Policy Review, 2021: 41, 865-898.
  10. Kiang M.V., Chen J.T., Krieger N., Buckee C.O., Alexander, M., Baker J.T., Buckner R.L., Coombs III G., Rich-Edwards J.W., Carlson K.W., and Onnela J-P. ‘Sociodemographic characteristics of missing data in digital phenotyping’. Scientific Reports, 2021: 11(1),15408.
  11. Alexander, M., Polimis, K., and Zagheni, E., ‘Combining social media and survey data to nowcast migrant stocks in the United States’, Population Research and Policy Review, 2020: 41, 1-28.
  12. Alexander, M., Polimis, K., and Zagheni, E., ‘The impact of Hurricane Maria on out-migration from Puerto Rico: Evidence from Facebook data’, Population and Development Review, 2019: 45(3), 617-630.
  13. Hug, L., Alexander, M., You, D., and Alkema, L. ‘National, regional, and global levels and trends in neonatal mortality between 1990 and 2017, with scenario-based projections to 2030: a systematic analysis by the United Nations Inter-agency Group for Child Mortality Estimation’, Lancet Global Health, 2019, 7(6): 710-720.
  14. Kiang, M.V., Basu S., Chen J., and Alexander, M(#). ‘Assessment of Changes in the Geographical Distribution of Opioid-Related Mortality Across the United States by Opioid Type, 1999-2016’. JAMA Network Open. 2019, 2(2):e190040.
  15. Gemmill, A., Kiang, M.V., and Alexander, M.(#), ‘Trends in pregnancy-associated mortality involving opioids in the United States, 2007–2016’, American Journal of Obstetrics and Gynecology, 2019, 220(1): 115-116.
  16. Alexander, M.(+), Kiang, M.V.(+), and Barbieri M., ‘Trends in Black and White Opioid Mortality in the United States, 1979–2015’, Epidemiology, 2018, 29(5): 707–715.
  17. Alexander, M., and Alkema, L., ‘Global Estimation of Neonatal Mortality using a Bayesian Hierarchical Splines Regression Model’, Demographic Research, 2018, 38(15): 335–372.
  18. Alexander, M., Zagheni, E., and Barbieri, M., ‘A Flexible Bayesian Model for Estimating Subnational Mortality’, Demography, 2017, 54(6): 2025–2041.
  19. Howlett, M., Gray, M., and Hunter, B., ‘Wages, government payments and other income of Indigenous and non-Indigenous Australians’, Australian Journal of Labour Economics, 2016, 19(2): 53–76.
  20. Hunter, B., Howlett, M., and Gray, M., ‘The Economic Impact of the Mining Boom on Indigenous and Non-Indigenous Australians’, Asia & the Pacific Policy Studies, 2015, 2(3): 517–530.
  21. Gray, M., Howlett, M., and Hunter, B., ‘Labour Market Outcomes for Indigenous Australians’, The Economic and Labour Relations Review, 2014, 25(3): 497–517.
  22. Biddle, N., Howlett, M., Hunter, B., and Paradies, Y., ‘Labour Market and Other Discrimination Facing Indigenous Australians’, Australian Journal of Labour Economics, 2013, 16(1): 91–113.

Book chapters

  1. Alexander, M. ‘Using social media advertising data to estimate migration trends over time’. In Big Data Applications in Geography and Planning. Edward Elgar Publishing. 2021.

Non-refereed publications

  1. Chong, M.(*), Alburez-Gutierrez, D., Del Fava, E., Alexander, M., and Zagheni, E. 2022. ‘Identifying and correcting bias in big crowd-sourced online genealogies’. MPIDR Working Paper WP-2022-005. Rostock, Max Planck Institute for Demographic Research.
  2. Winant, C., Alexander, M., Dharamshi, A.(*), Dukhovnov, D., and Barbieri, M. 2021. ‘Methods Protocol for the United States Mortality County Database.’.
  3. Hunter, B., Howlett, M., and Biddle, N. 2014. ‘Modelling Exposure to Risk of Experiencing Discrimination in the Context of Endogenous Ethnic Identification’, IZA Discussion Paper #8040.
  4. Gray, M., Hunter, B., and Howlett, M. 2013. ‘Indigenous Employment: A Story of Continuing Growth’, CAEPR Topical Issue 2⁄2013, Australian National University, Canberra.

Submitted manuscripts

  1. Chong, M.Y.C.(*), Pejchinovska, M.(*), and Alexander, M. ‘Estimating causes of maternal death in data-sparse contexts’. arXiv:2101.05240 (revise and resubmit, Annals of Applied Statistics).
  2. Alexander, M. ‘Decomposing Dimensions of Mortality Inequality.’ doi:10.31235/osf.io/uqwxj. (revise and resubmit, Population Research and Policy Review).
  3. Badolato, L., Decter-Frain, A. G., Irons, N., Miranda, M. L., Walk, E., Zhalieva, E., Alexander, M., Basellini, U., and Zagheni, E. ‘Predicting individual-level longevity with statistical and machine learning methods.’ (revise and resubmit, Science Advances).
  4. Katz, L.(*), Chong, M.Y.C(*) and Alexander, M. ‘Measuring Short-term Mobility Patterns in North America Using Facebook Advertising Data, with an Application to Adjusting Covid-19 Mortality Rates.’ doi:10.31235/osf.io/bev4p. (revise and resubmit, Demographic Research)
  5. Alexander M., and Root, L. ‘Racial disparities in fetal and infant outcomes: a multiple-decrement life table approach’. doi:10.31235/osf.io/k5qp7 (under review at Demography)
  6. Pejchinovska, M.(*), and Alexander, M. ‘A Bayesian framework to account for misclassification error and uncertainty in the estimation of abortion incidence.’ doi:10.31235/osf.io/uz8ev (under review at Sociology Methodology)
  7. Moon, M.(*) and Alexander, M. ‘Modelling transitions of opioid usage, addiction, and fatal overdoses using a Bayesian multistate model’. (under review at Statistics in Medicine)
  8. Pejchinovska, M.(*), Alexander, M., Yeung, J.(*), Gemmill, A. ‘MRP as a tool in the population sciences: potential benefits and challenges’. (under review, to appear in Kennedy, L., Alexander, R., and Gelman, A., (editors), Multilevel Regression and Post-stratification: A Practical Guide and New Developments, (accepted for publication by Cambridge University Press, expected 2024)).

Works in progress

  1. Dharamshi, A.(*), Alexander, M., Winant, C., and Barbieri, M. ‘Jointly Estimating Subnational Mortality for Multiple Populations’. (Status: preprint up, to submit to Demographic Research)
  2. Schluter, BS.(*), Alburez-Gutierrez, D., Bibbins-Domingo, K., Alexander, M.(#), and Kiang, M.V.(#) ‘Racial/ethnic disparities in parental loss due to drugs and firearms in the United States, 1999 - 2020’. (Status: drafting of manuscript almost complete; to submit as a research letter to to JAMA)
  3. Alexander, M.. ‘Measures of premature life lost at a fixed level of life expectancy’. Extended abstract submitted to PAA 2023 (Status: need to discuss relationship with existing measures, apply to life expectancy post-Covid-19 to explore cross country differences).
  4. Alexander, M., Wildeman, C., Roehrkasse, A., and Rudlang-Perman, K. ‘Forecasting child welfare outcomes in the United States’. Paper presented at PAA 2022; Shiny app. (Status: need to expand discussion of context, apply to data post-Covid-19).
  5. Alexander, M., and Chong, M.Y.C.(*). ‘Methods to estimate stateless populations’. (Status: This was a report prepared for UNHCR. We need rewrite it to be in manuscript format.)
  6. Alexander, R., and Alexander, M.. ‘The Increased Effect of Elections and Changing Prime Ministers on Topics Discussed in the Australian Federal Parliament between 1901 and 2018’. (Status: need to update data based on newly created dataset, simplify model to be a shorter time period).
  7. Alexander, M., and Goldstein, J., ‘Deaths without denominators: using a matched dataset to study mortality patterns in the United States’. (Status: need to update data based on newly created dataset).

Software

  1. Yeung, J.(*), Alexander, M., and Riffe, T. ‘rcbayes: Estimate Rogers-Castro Migration Age Schedules with Bayesian Models’. https://cran.uib.no/web/packages/rcbayes/index.html