Disentangling rectangularization and life span extension with the moving rectangle method

Research output: Contribution to journalLetterResearchpeer-review

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Disentangling rectangularization and life span extension with the moving rectangle method. / Schalkwijk, Frank H; Koopman, Jacob J E; Ghariq, Eidrees; de Beer, Joop A A; van Bodegom, David; Westendorp, Rudi G J.

In: Annals of Epidemiology, Vol. 26, No. 3, 03.2016, p. 218-221.e2.

Research output: Contribution to journalLetterResearchpeer-review

Harvard

Schalkwijk, FH, Koopman, JJE, Ghariq, E, de Beer, JAA, van Bodegom, D & Westendorp, RGJ 2016, 'Disentangling rectangularization and life span extension with the moving rectangle method', Annals of Epidemiology, vol. 26, no. 3, pp. 218-221.e2. https://doi.org/10.1016/j.annepidem.2015.12.010

APA

Schalkwijk, F. H., Koopman, J. J. E., Ghariq, E., de Beer, J. A. A., van Bodegom, D., & Westendorp, R. G. J. (2016). Disentangling rectangularization and life span extension with the moving rectangle method. Annals of Epidemiology, 26(3), 218-221.e2. https://doi.org/10.1016/j.annepidem.2015.12.010

Vancouver

Schalkwijk FH, Koopman JJE, Ghariq E, de Beer JAA, van Bodegom D, Westendorp RGJ. Disentangling rectangularization and life span extension with the moving rectangle method. Annals of Epidemiology. 2016 Mar;26(3):218-221.e2. https://doi.org/10.1016/j.annepidem.2015.12.010

Author

Schalkwijk, Frank H ; Koopman, Jacob J E ; Ghariq, Eidrees ; de Beer, Joop A A ; van Bodegom, David ; Westendorp, Rudi G J. / Disentangling rectangularization and life span extension with the moving rectangle method. In: Annals of Epidemiology. 2016 ; Vol. 26, No. 3. pp. 218-221.e2.

Bibtex

@article{81cc4960031c43baa0716b4ae314ecfc,
title = "Disentangling rectangularization and life span extension with the moving rectangle method",
abstract = "PURPOSE: The moving rectangle method is used to disentangle the contributions of rectangularization and life span extension to the increase in life expectancy. It requires the choice of an endpoint of the survival curve that approaches the maximum age at death. We examined the effect of choosing different end points on the outcomes of this method.METHODS: For five developed countries, survival curves from age 50 years were constructed per calendar year from 1922 onward. Survival values of 0.1, 0.01, and 0.001 were chosen as end points of the survival curve, and the contributions of rectangularization and life span extension to the increase in life expectancy were calculated using the moving rectangle method.RESULTS: The choice of different survival values as end points profoundly influenced the estimated contributions of rectangularization and life span extension to the increase in life expectancy. When choosing 0.001, rectangularization contributed most years, whereas when choosing 0.1, life span extension contributed most years.CONCLUSIONS: When the moving rectangle method is used to estimate the contributions of rectangularization and life span extension to the increase in life expectancy, its outcomes depend on the choice of the endpoint of the survival curve.",
author = "Schalkwijk, {Frank H} and Koopman, {Jacob J E} and Eidrees Ghariq and {de Beer}, {Joop A A} and {van Bodegom}, David and Westendorp, {Rudi G J}",
note = "Copyright {\circledC} 2016 Elsevier Inc. All rights reserved.",
year = "2016",
month = "3",
doi = "10.1016/j.annepidem.2015.12.010",
language = "English",
volume = "26",
pages = "218--221.e2",
journal = "Annals of Epidemiology",
issn = "1047-2797",
publisher = "Elsevier",
number = "3",

}

RIS

TY - JOUR

T1 - Disentangling rectangularization and life span extension with the moving rectangle method

AU - Schalkwijk, Frank H

AU - Koopman, Jacob J E

AU - Ghariq, Eidrees

AU - de Beer, Joop A A

AU - van Bodegom, David

AU - Westendorp, Rudi G J

N1 - Copyright © 2016 Elsevier Inc. All rights reserved.

PY - 2016/3

Y1 - 2016/3

N2 - PURPOSE: The moving rectangle method is used to disentangle the contributions of rectangularization and life span extension to the increase in life expectancy. It requires the choice of an endpoint of the survival curve that approaches the maximum age at death. We examined the effect of choosing different end points on the outcomes of this method.METHODS: For five developed countries, survival curves from age 50 years were constructed per calendar year from 1922 onward. Survival values of 0.1, 0.01, and 0.001 were chosen as end points of the survival curve, and the contributions of rectangularization and life span extension to the increase in life expectancy were calculated using the moving rectangle method.RESULTS: The choice of different survival values as end points profoundly influenced the estimated contributions of rectangularization and life span extension to the increase in life expectancy. When choosing 0.001, rectangularization contributed most years, whereas when choosing 0.1, life span extension contributed most years.CONCLUSIONS: When the moving rectangle method is used to estimate the contributions of rectangularization and life span extension to the increase in life expectancy, its outcomes depend on the choice of the endpoint of the survival curve.

AB - PURPOSE: The moving rectangle method is used to disentangle the contributions of rectangularization and life span extension to the increase in life expectancy. It requires the choice of an endpoint of the survival curve that approaches the maximum age at death. We examined the effect of choosing different end points on the outcomes of this method.METHODS: For five developed countries, survival curves from age 50 years were constructed per calendar year from 1922 onward. Survival values of 0.1, 0.01, and 0.001 were chosen as end points of the survival curve, and the contributions of rectangularization and life span extension to the increase in life expectancy were calculated using the moving rectangle method.RESULTS: The choice of different survival values as end points profoundly influenced the estimated contributions of rectangularization and life span extension to the increase in life expectancy. When choosing 0.001, rectangularization contributed most years, whereas when choosing 0.1, life span extension contributed most years.CONCLUSIONS: When the moving rectangle method is used to estimate the contributions of rectangularization and life span extension to the increase in life expectancy, its outcomes depend on the choice of the endpoint of the survival curve.

U2 - 10.1016/j.annepidem.2015.12.010

DO - 10.1016/j.annepidem.2015.12.010

M3 - Letter

C2 - 26847052

VL - 26

SP - 218-221.e2

JO - Annals of Epidemiology

JF - Annals of Epidemiology

SN - 1047-2797

IS - 3

ER -

ID: 160192239