Skip to content Skip to navigation
University of Warwick
  • Study
  • |
  • Research
  • |
  • Business
  • |
  • Alumni
  • |
  • News
  • |
  • About

University of Warwick
Publications service & WRAP

Highlight your research

  • WRAP
    • Home
    • Search WRAP
    • Browse by Warwick Author
    • Browse WRAP by Year
    • Browse WRAP by Subject
    • Browse WRAP by Department
    • Browse WRAP by Funder
    • Browse Theses by Department
  • Publications Service
    • Home
    • Search Publications Service
    • Browse by Warwick Author
    • Browse Publications service by Year
    • Browse Publications service by Subject
    • Browse Publications service by Department
    • Browse Publications service by Funder
  • Statistics
  • Help & Advice
University of Warwick

The Library

  • Login

Competing risks, left truncation and late entry effect in A-bomb survivors cohort

Tools
- Tools
+ Tools

Anzures-Cabrera, J. and Hutton, Jane L.. (2010) Competing risks, left truncation and late entry effect in A-bomb survivors cohort. Journal of Applied Statistics, Vol.37 (No.5). pp. 821-831. ISSN 0266-4763

[img] PDF
WRAP_Hutton_competing_risks.pdf - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader

Download (518Kb)
Official URL: http://dx.doi.org/10.1080/02664760902914417

Abstract

The cohort under study comprises A-bomb survivors residing in Hiroshima Prefecture since 1968. After this year, thousands of survivors were newly recognized every year. The aim of this study is to determine whether the survival experience of the late entrants to the cohort is significantly different from the registered population in 1968. Parametric models that account for left truncation and competing risks were developed by using sub-hazard functions. A Weibull distribution was used to determine the possible existence of a late entry effect in Hiroshima A-bomb survivors. The competing risks framework shows that there might be a late entry effect in the male and female groups. Our findings are congruent with previous studies analysing similar populations.

Item Type: Journal Article
Subjects: D History General and Old World > D History (General)
R Medicine > RA Public aspects of medicine
Divisions: Faculty of Science > Statistics
Library of Congress Subject Headings (LCSH): Atomic bomb victims -- Japan -- Hiroshima-shi, Atomic bomb -- Physiological effect, Atomic bomb -- Psychological aspects
Journal or Publication Title: Journal of Applied Statistics
Publisher: Routledge
ISSN: 0266-4763
Date: May 2010
Volume: Vol.37
Number: No.5
Page Range: pp. 821-831
Identification Number: 10.1080/02664760902914417
Status: Peer Reviewed
Access rights to Published version: Open Access
Funder: Medical Research Council (Great Britain) (MRC), Consejo Nacional de Ciencia y Tecnología (Mexico) [Mexican Council for Science and Technology] (CONACYT)
Grant number: U.1052.00.011 (MRC), 160987 (160987)
References: [1] K. Bull and D.J. Spiegelhalter, Survival analysis in observational studies, Stat. Med. 16 (1997), pp. 1041–1074. [2] D. Collett, Modelling Survival Data in Medical Research, Chapman and Hall, London, 1994. [3] D.R. Cox and D. Oakes, Analysis of Survival Data, Chapman and Hall, London, 1984. [4] M. Crowder, Classical Competing Risks, Chapman and Hall/CRC, Boca Raton, 2001. [5] M. Hoshi, M. Matsuura, N. Hayakawa, C. Ito, and N. Kamada, Estimation of radiation doses for atomic bomb survivors in the Hiroshima university registrey, Health Phys. 70 (1996), pp. 735–740. [6] D. Kalbfleish and L. Prentice, The Statistical Analysis of Failure Time Data, JohnWiley and Sons, NewYork, 1980. [7] E.L. Korn, B.I. Graubard, and D. Midthurne, Time-to-event analysis of longitudinal follow-up of a survey: Chaoice of the time-scale, Amer. J. Epidemiol. 145 (1997), pp. 72–80. [8] M. Matsuura and S. Eguchi, Modeling late entry bias in survival analysis, Biometrics 61 (2005), pp. 559–556. [9] M. Matsuura, N. Hayakawa, and H. Shimokata, Survival analyses of atomic bomb survivors in Hiroshima prefecture, Japan, 1968–1982. – Cancer mortality risk among early entrants, Hiroshima J. Med. Sci. 44 (1995), pp. 29–38. [10] D.A. Pierce, Y. Shimizu, D.L. Preston, M. Vaeth, and K. Mabuchi, Studies of the mortality of A-bomb survivors. Report 12, Part I. Cancer: 1950–1990, Radiat. Res. 146 (1996), pp. 1–27. [11] M. Pintilie, Competing Risks. A Practical Perspective, JohnWiley and Sons, Chichester, 2006. [12] R.L. Prentice, J.D. Kalbfleisch, A.V. Peterson Jr., N. Flournoy, V.T. Farewell, and N.E. Breslow, The analysis of failure times in the presence of competing risks, Biometrics 34 (1978), pp. 541–554. [13] G. Scambler, Sociology as Applied to Medicine, Saunders, Edinburgh, 2003. [14] Y. Shimizu, D.A. Pierce, D.L. Preston, and K. Mabuchi, Studies of the mortality of A-bomb survivors. Report 12, Part II. Noncancer mortality: 1950–1990, Radiat. Res. 152 (1999), pp. 374–389. [15] A.C.M. Thiébaut and J. Bénichou, Choice of time-scale in Cox’s model analysis of epidemiologic cohort datea: A simulation study, Stat. Med. 23 (2004), pp. 3803–3820.
URI: http://wrap.warwick.ac.uk/id/eprint/3330

Data sourced from Thomson Reuters' Web of Knowledge

Request changes to a record

Actions (login required)

View Item View Item

Document Downloads

More statistics for this item...
twitter

Email us: publications@warwick.ac.uk
Contact Details
About Us