| Year |
Citation |
Score |
| 2023 |
Chao F, Masquelier B, You D, Hug L, Liu Y, Sharrow D, Rue H, Ombao H, Alkema L. Sex differences in mortality among children, adolescents, and young people aged 0-24 years: a systematic assessment of national, regional, and global trends from 1990 to 2021. The Lancet. Global Health. 11: e1519-e1530. PMID 37734797 DOI: 10.1016/S2214-109X(23)00376-5 |
0.488 |
|
| 2022 |
Sharrow D, Hug L, You D, Alkema L, Black R, Cousens S, Croft T, Gaigbe-Togbe V, Gerland P, Guillot M, Hill K, Masquelier B, Mathers C, Pedersen J, Strong KL, et al. Global, regional, and national trends in under-5 mortality between 1990 and 2019 with scenario-based projections until 2030: a systematic analysis by the UN Inter-agency Group for Child Mortality Estimation. The Lancet. Global Health. 10: e195-e206. PMID 35063111 DOI: 10.1016/S2214-109X(21)00515-5 |
0.472 |
|
| 2021 |
Masquelier B, Hug L, Sharrow D, You D, Mathers C, Gerland P, Alkema L. Global, regional, and national mortality trends in youth aged 15-24 years between 1990 and 2019: a systematic analysis. The Lancet. Global Health. PMID 33662320 DOI: 10.1016/S2214-109X(21)00023-1 |
0.444 |
|
| 2018 |
Masquelier B, Hug L, Sharrow D, You D, Hogan D, Hill K, Liu J, Pedersen J, Alkema L. Global, regional, and national mortality trends in older children and young adolescents (5-14 years) from 1990 to 2016: an analysis of empirical data. The Lancet. Global Health. 6: e1087-e1099. PMID 30223984 DOI: 10.1016/S2214-109X(18)30353-X |
0.48 |
|
| 2017 |
Sharrow DJ, Godwin J, He Y, Clark SJ, Raftery AE. Probabilistic population projections for countries with generalized HIV/AIDS epidemics. Population Studies. 1-15. PMID 29256327 DOI: 10.1080/00324728.2017.1401654 |
0.543 |
|
| 2017 |
Sharrow DJ, Anderson JJ. Correction: A Twin Protection Effect? Explaining Twin Survival Advantages with a Two-Process Mortality Model. Plos One. 12: e0171794. PMID 28152091 DOI: 10.1371/Journal.Pone.0171794 |
0.363 |
|
| 2017 |
Sharrow DJ, Anderson JJ. Erratum to: Quantifying Intrinsic and Extrinsic Contributions to Human Longevity: Application of a Two-Process Vitality Model to the Human Mortality Database. Demography. PMID 28092073 DOI: 10.1007/s13524-016-0547-x |
0.3 |
|
| 2016 |
Anderson JJ, Li T, Sharrow DJ. Insights into mortality patterns and causes of death through a process point of view model. Biogerontology. PMID 27885527 DOI: 10.1007/S10522-016-9669-1 |
0.561 |
|
| 2016 |
Sharrow DJ, Anderson JJ. Quantifying Intrinsic and Extrinsic Contributions to Human Longevity: Application of a Two-Process Vitality Model to the Human Mortality Database. Demography. PMID 27837429 DOI: 10.1007/S13524-016-0524-4 |
0.47 |
|
| 2016 |
Sharrow DJ, Anderson JJ. A Twin Protection Effect? Explaining Twin Survival Advantages with a Two-Process Mortality Model. Plos One. 11: e0154774. PMID 27192433 DOI: 10.1371/Journal.Pone.0154774 |
0.527 |
|
| 2014 |
Sharrow DJ, Clark SJ, Raftery AE. Modeling age-specific mortality for countries with generalized HIV epidemics. Plos One. 9: e96447. PMID 24853081 DOI: 10.1371/Journal.Pone.0096447 |
0.643 |
|
| 2014 |
Sankoh O, Sharrow D, Herbst K, Whiteson Kabudula C, Alam N, Kant S, Ravn H, Bhuiya A, Thi Vui L, Darikwa T, Gyapong M, Jasseh M, Chuc Thi Kim N, Abdullah S, Crampin A, et al. The INDEPTH standard population for low- and middle-income countries, 2013. Global Health Action. 7: 23286. PMID 24679543 DOI: 10.3402/Gha.V7.23286 |
0.543 |
|
| 2013 |
Sharrow DJ, Clark SJ, Collinson MA, Kahn K, Tollman SM. 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. Demographic Research. 29: 1039-1096. PMID 24453696 DOI: 10.4054/Demres.2013.29.39 |
0.622 |
|
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