122 citations · 123 across the 5 of their papers we have counts for
5 papers
Enhancing the use of family planning service statistics using a Bayesian modelling approach to inform estimates of modern contraceptive use in low- and middle-income countries
Shauna Mooney, Leontine Alkema, Emily Sonneveldt +3
Monitoring family planning indicators, such as modern contraceptive prevalence rate (mCPR), is essential for family planning programming. The Family Planning Estimation Tool (FPET)…
Temporal Models for Demographic and Global Health Outcomes in Multiple Populations: Introducing the Normal-with-Optional-Shrinkage Data Model Class
Leontine Alkema, Herbert Susmann, Evan Ray
Statistical models are used to produce estimates of demographic and global health indicators in populations with limited data. Such models integrate multiple data sources to produc…
Interview with Adrian Raftery
Leontine Alkema, Thomas Brendan Murphy, Adrian E. Raftery
Professor Adrian E. Raftery is the Boeing International Professor of Statistics and Sociology, and an adjunct professor of Atmospheric Sciences, at the University of Washington in…
A Bayesian analysis of current duration data with reporting issues: an application to estimating the distribution of time-between-sex from time-since-last-sex data as collected in cross-sectional surveys in low- and middle-income countries
Chi Hyun Lee, Herbert Susmann, Leontine Alkema
Aggregate measures of family planning are used to monitor demand for and usage of contraceptive methods in populations globally, for example as part of the FP2030 initiative. Famil…
Bayesian Population Projections for the United Nations
Adrian E. Raftery, Leontine Alkema, Patrick Gerland
The United Nations regularly publishes projections of the populations of all the world's countries broken down by age and sex. These projections are the de facto standard and are w…