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Coherent Hierarchical Forecasting for Proportion and Discrete Time Series
Hannah Comiskey
Hierarchical and grouped time series arise when a multivariate time series is forced to satisfy a set of aggregation constraints, motivating forecast reconciliation methods that en…
Bayesian probabilistic projections of proportions with limited data: An application to subnational contraceptive method supply shares
Hannah Comiskey, Niamh Cahill, Leontine Alkema +2
Engaging the private sector in contraceptive method supply is critical for creating equitable, sustainable, and accessible healthcare systems. To achieve this, it is essential to u…
mcmsupply: An R Package for Estimating Contraceptive Method Market Supply Shares
Hannah Comiskey, Niamh Cahill
In this paper, we introduce the R package mcmsupply which implements Bayesian hierarchical models for estimating and projecting modern contraceptive market supply shares over time.…
Estimating the proportion of modern contraceptives supplied by the public and private sectors using a Bayesian hierarchical penalized spline model
Hannah Comiskey, Leontine Alkema, Niamh Cahill
Quantifying the public/private sector supply of contraceptive methods within countries is vital for effective and sustainable family planning (FP) delivery. In many low and middle-…