122 citations · 398 across the 22 of their papers we have counts for
12 papers · 1 filter
Bayesian Statistical Modeling in Action for Estimation and Forecasting in Low- and Middle-income Countries: The Case of the Family Planning Estimation Tool
Leontine Alkema, Herbert Susmann, Evan Ray +12
The Family Planning Estimation Tool (FPET) is used in low- and middle-income countries to produce estimates and short-term forecasts of family planning indicators, such as modern c…
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)…
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…
A Bayesian cohort component projection model to estimate adult populations at the subnational level in data-sparse settings
Monica Alexander, Leontine Alkema
Accurate estimates of subnational populations are important for policy formulation and monitoring population health indicators. For example, estimates of the number of women of rep…
Estimating the Stillbirth Rate for 195 Countries Using A Bayesian Sparse Regression Model with Temporal Smoothing
Zhengfan Wang, Miranda J. Fix, Lucia Hug +5
Estimation of stillbirth rates globally is complicated because of the paucity of reliable data from countries where most stillbirths occur. We compiled data and developed a Bayesia…
Global estimation of unintended pregnancy and abortion using a Bayesian hierarchical random walk model
Jonathan Marc Bearak, Anna Popinchalk, Bela Ganatra +5
Unintended pregnancy and abortion estimates are needed to inform and motivate investment in global health programmes and policies. Variability in the availability and reliability o…