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Ann-Beth Moller

2 papers hereh-index 3530.9k citations83 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • stat.AP2

identity via Semantic Scholar / OpenAlex

most citedGlobal estimation of unintended pregnancy and abortion using a Bayesian hierarchical random walk model

3 citations · 3 across the 1 of their papers we have counts for

collaborators

2 papers

stat.AP2020★ 3 cited

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…

stat.AP2019

Estimating maternal mortality using data from national civil registration vital statistics systems: A Bayesian hierarchical bivariate random walk model to estimate sensitivity and specificity of reporting

Emily Peterson, Doris Chou, Ann-Beth Moller +3

Civil registration vital statistics (CRVS) data are used to produce national estimates of maternal mortality, but are often subject to substantial reporting errors due to misclassi…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.