David J. Sharrow
David J. Sharrow
Data and Analytics Section | Division of Data, Analytics, Planning and Monitoring | UNICEF
Verified email at uw.edu
Cited by
Cited by
Levels and trends in child mortality: report 2017
L Hug, D Sharrow, D You
The World Bank, 2017
The INDEPTH standard population for low-and middle-income countries, 2013.
O Sankoh, D Sharrow, K Herbst, CW Kabudula, N Alam, S Kant
Global Health Action 7, 2014
Global, regional, and national mortality trends in older children and young adolescents (5–14 years) from 1990 to 2016: an analysis of empirical data
B Masquelier, L Hug, D Sharrow, D You, D Hogan, K Hill, J Liu, ...
The Lancet Global Health 6 (10), e1087-e1099, 2018
The age pattern of increases in mortality affected by HIV: Bayesian fit of the Heligman-Pollard model to data from the Agincourt HDSS field site in rural northeast South Africa
DJ Sharrow, SJ Clark, MA Collinson, K Kahn, SM Tollman
Demographic research 29, 1039, 2013
Levels & trends in child mortality
L Hug, D Sharrow, K Zhong, D You
United Nations Child Fund, 2018
Modeling age-specific mortality for countries with generalized HIV epidemics
DJ Sharrow, SJ Clark, AE Raftery
PLoS One 9 (5), e96447, 2014
A Twin Protection Effect? Explaining Twin Survival Advantages with a Two-Process Mortality Model
DJ Sharrow, JJ Anderson
PLoS ONE 11 (5), e0154774, 2016
Contemporary model life tables for developed countries
SJ Clark, DJ Sharrow
An application of model-based clustering. In center for statistics and the …, 2011
Quantifying Intrinsic and Extrinsic Contributions to Human Longevity: Application of a Two-Process Vitality Model to the Human Mortality Database
DJ Sharrow, JJ Anderson
Demography, 1-15, 2016
United Nations Inter-agency Group for Child Mortality Estimation (UN IGME)
L Hug, D Sharrow, D You
World Bank indicator: mortality rate, neonatal (per 1,000 live births …, 2015
Modeling the Age Pattern of Human Mortality: Mathematical and Tabular Representations of the Risk of Death
DJ Sharrow
University of Washington, 2013
Insights into mortality patterns and causes of death through a process point of view model
JJ Anderson, T Li, DJ Sharrow
Biogerontology 18 (1), 149-170, 2017
HPbayes: Heligman-pollard mortality model parameter estimation using bayesian melding with incremental mixture importance sampling. R package version 0.1
D Sharrow
URL http://CRAN. R-project. org/package= HPbayes, r package version 0.1, 2011
Probabilistic population projections for countries with generalized HIV/AIDS epidemics
DJ Sharrow, J Godwin, Y He, SJ Clark, AE Raftery
Population studies 72 (1), 1-15, 2018
Package ‘HPbayes’
DJ Sharrow, MD Sharrow
R-Project, Disponible en: https://cran. rproject. org/web/packages/HPbayes …, 2015
Where the Poor Pay More?: The Spatial Location of Credit Services in King County, Washington
DJ Sharrow
University of Washington, 2007
Package ‘LifeTables’
DJ Sharrow
http://CRAN.R-project.org/package=LifeTables, 2015
Package ‘vitality’
G Passolt, JJ Anderson, T Li, DH Salinger, DJ Sharrow
https://CRAN.R-project.org/package=vitality, 2014
HPbayes Version 1 for R: A Package for Estimating the Heligman-Pollard Mortality Model
DJ Sharrow
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