| Levels and trends in child mortality: report 2017 L Hug, D Sharrow, D You The World Bank, 2017 | 83 | 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 | 44* | 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 | 34 | 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 | 32 | 2013 |
| Levels & trends in child mortality L Hug, D Sharrow, K Zhong, D You United Nations Child Fund, 2018 | 24 | 2018 |
| Modeling age-specific mortality for countries with generalized HIV epidemics DJ Sharrow, SJ Clark, AE Raftery PLoS One 9 (5), e96447, 2014 | 19 | 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 | 18 | 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 | 18 | 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 | 8 | 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 | 7 | 2015 |
| Modeling the Age Pattern of Human Mortality: Mathematical and Tabular Representations of the Risk of Death DJ Sharrow University of Washington, 2013 | 6 | 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 | 4 | 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 | 4 | 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 | 2 | 2018 |
| Package ‘HPbayes’ DJ Sharrow, MD Sharrow R-Project, Disponible en: https://cran. rproject. org/web/packages/HPbayes …, 2015 | 1 | 2015 |
| Where the Poor Pay More?: The Spatial Location of Credit Services in King County, Washington DJ Sharrow University of Washington, 2007 | 1 | 2007 |
| Package ‘LifeTables’ DJ Sharrow http://CRAN.R-project.org/package=LifeTables, 2015 | | 2015 |
| Package ‘vitality’ G Passolt, JJ Anderson, T Li, DH Salinger, DJ Sharrow https://CRAN.R-project.org/package=vitality, 2014 | | 2014 |
| HPbayes Version 1 for R: A Package for Estimating the Heligman-Pollard Mortality Model DJ Sharrow | | 2009 |
Samuel J. ClarkProfessor of Sociology, The Ohio State UniversityVerified email at osu.edu
