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Physical and Socioeconomic Characteristics at Young Age as Predictors of Survival to 100: A Study of a New Historical Data Resource U.S. WWI Draft Cards
age 100 in all three models (see Table 4). 17 TABLE 4 Odds Ratios (95% CI) of Exceptional Longevity ... Rural, Antebellum North." Social Science History 17(3): 355-383. ________. 1993. "Height, Weight, ...- Authors: Natalia Gavrilova, Leonid Gavrilov
- Date: Jan 2008
- Competency: Technical Skills & Analytical Problem Solving>Process and technique refinement
- Topics: Experience Studies & Data>Mortality
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Early-life Predictors of Exceptional Longevity in the United States: Why Centenarians are Different From Their Shorter-lived Siblings
Orlando, Fla.: The Society of Actuaries. 17 Finch, C.E., and E.M. Crimmins. 2004. “Inflammatory ... Reproduction in Humans.” Trends in Ecology and Evolution 17: 141-47. Martin, P., J. Cho, M. MacDonald, J. Margreff ...- Authors: Natalia Gavrilova, Leonid Gavrilov
- Date: Jan 2011
- Competency: Technical Skills & Analytical Problem Solving>Process and technique refinement
- Topics: Demography>Longevity
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Historical Evolution of Old-Age Mortality and New Approaches to Mortality Forecasting
study of historical time series of mortality for 17 countries permitted the conclusion that it was quite ... factor is shown in red. U.S. Men U.S. Women 17 Fig. 9. Time Trends of Old-Age Mortality for ...- Authors: Leonid Gavrilov, Natalia Gavrilova, Viacheslav Krut'ko
- Date: Jul 2017
- Competency: Technical Skills & Analytical Problem Solving>Problem analysis and definition
- Topics: Demography>Mortality - Demography; Demography>Longevity
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Mortality Trajectories at Exceptionally High Ages:A Study of Supercentenarians
Mortality Trajectories at Exceptionally High Ages:A Study of Supercentenarians This article analyzes mortality ... Journal of Structured Finance 20(2): 66–73. 17 Gavrilova, N. S., and L. A. Gavrilov. 2015.- Authors: Natalia Gavrilova, Leonid Gavrilov, Viacheslav Krut'ko
- Date: Jul 2017
- Competency: Strategic Insight and Integration>Influence decisions; Technical Skills & Analytical Problem Solving>Innovative solutions
- Topics: Demography>Longevity
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Mortality Trajectories at Extreme Old Ages: A Comparative Study of Different Data Sources on U.S. Old-Age Mortality
x ( )2 q x = 2 x l x x l x l x x l x + 17 This estimate assumes uniform distribution of ... and Medical Sciences Published electronically Feb. 17. doi:10.1093/gerona/glu1009. Gehan, Edmund A. 1969 ...- Authors: Society of Actuaries, Natalia Gavrilova
- Date: Jan 2014
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2005 Living to 100 and Beyond Monograph: Search for Predictors of Exceptional Human Longevity - Using Computerized Genealogies and Internet Resources for Human Longevity Studies
2005 Living to 100 and ... 104 23 0 105 9 0 106 12 0 2 20 107 5 0 1 17 109 1 0 110 1 30 114 1 30 11 Note ... died in infancy. Only in two out of 198 such 17 families was the younger child named after his ...- Authors: Natalia Gavrilova, Leonid Gavrilov
- Date: Jan 2005
- Competency: External Forces & Industry Knowledge
- Topics: Demography
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Predictors of Exceptional Longevity: Effects of Early-Life Childhood Conditions, Mid-Life Environment and Parental Characteristics
Predictors of Exceptional Longevity: Effects of Early-Life Childhood Conditions, Mid-Life Environment and ... Men‘s Mortality.” Demography 41 (1): 87–107. 17 Hayward, Mark D., Amy M. Pienta, and Diane K ...- Authors: Society of Actuaries, Natalia Gavrilova
- Date: Jan 2014
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Mortality Measurement and Modeling Beyond Age 100
Mortality Measurement and Modeling Beyond Age 100 Presented at Living to 100 symposium, January 2011. Using data ... very large cohort of old individuals. 17 Discussion Our study of large single-year U ...- Authors: Natalia Gavrilova, Leonid Gavrilov
- Date: Jan 2011
- Competency: External Forces & Industry Knowledge; Technical Skills & Analytical Problem Solving
- Topics: Demography>Longevity; Demography>Population data