2024

Comiskey, Hannah, Alkema, Leontine and Cahill, Niamh (2024) Estimating the proportion of modern contraceptives supplied by the public and private sectors using a Bayesian hierarchical penalized spline model. Journal of the Royal Statistical Society Series A: Statistics in Society. ISSN 0964-1998

2021

Guranich, Gregory, Cahill, Niamh and Alkema, Leontine (2021) Fpemlocal: Estimating family planning indicators in R for a single population of interest. Gates Open Research, 5. p. 24. ISSN 2572-4754

Ortega, José Antonio, Cahill, Niamh, Sonneveldt, Emily, Emmart, Priya, Williamson, Jessica, Mbu, Robinson, Fodjo Yetgang, Airy Barrière, Dambula, Isaac, Azambuja, Gizela, Mahumane Govo, Alda Antonio, Joshi, Binod, Felix, Sayinzoga, Makashaka, Clarisse, Ndaruhutse, Victor, Serucaca, Joel, Madzima, Bernard, Muzavazi, Brighton and Alkema, Leontine (2021) Using family planning service statistics to inform model-based estimates of modern contraceptive prevalence. PLoS ONE, 16 (10). e0258304. ISSN 1932-6203

2020

Cahill, Niamh, Weinberger, Michelle and Alkema, Leontine (2020) What increase in modern contraceptive use is needed in FP2020 countries to reach 75% demand satisfied by 2030? An assessment using the Accelerated Transition Method and Family Planning Estimation Model. Gates Open Research, 4 (113). pp. 1-13. ISSN 2572-4754

2018

Cahill, Niamh, Sonneveldt, Emily, Stover, John, Weinberger, Michelle, Williamson, Jessica, Wei, Chuchu, Brown, Win and Alkema, Leontine (2018) Modern contraceptive use, unmet need, and demand satisfied among women of reproductive age who are married or in a union in the focus countries of the Family Planning 2020 initiative: a systematic analysis using the Family Planning Estimation Tool. The Lancet, 391. pp. 870-882. ISSN 0140-6736

2017

New, Jin Rou, Cahill, Niamh, Stover, John, Gupta, Yogender Pal and Alkema, Leontine (2017) Levels and trends in contraceptive prevalence, unmet need, and demand for family planning for 29 states and union territories in India: a modelling study using the Family Planning Estimation Tool. Lancet, 5 (3). e350-e358. ISSN 1474-547X