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Proportional Hazard Regression Models and the Analysis of Censored Survival Data

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  • R. Kay

Abstract

Regression models of the proportional hazards type are applied to the analysis of censored survival data. Methods of inference associated with the models and techniques for checking model assumptions are presented and applied to the analysis of some data arising from a clinical trial in medicine.

Suggested Citation

  • R. Kay, 1977. "Proportional Hazard Regression Models and the Analysis of Censored Survival Data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 26(3), pages 227-237, November.
  • Handle: RePEc:bla:jorssc:v:26:y:1977:i:3:p:227-237
    DOI: 10.2307/2346962
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    Cited by:

    1. Paul Brenton & Christian Saborowski & Erik von Uexkull, 2014. "What Explains the Low Survival Rate of Developing Country Export Flows?," World Scientific Book Chapters, in: INTERNATIONAL TRADE, DISTRIBUTION AND DEVELOPMENT Empirical Studies of Trade Policies, chapter 17, pages 347-372, World Scientific Publishing Co. Pte. Ltd..
    2. Barabadi, Abbas & Barabady, Javad & Markeset, Tore, 2011. "Maintainability analysis considering time-dependent and time-independent covariates," Reliability Engineering and System Safety, Elsevier, vol. 96(1), pages 210-217.
    3. Kettunen, Juha, . "Re-employment of Finnish Unemployed Workers," ETLA A, The Research Institute of the Finnish Economy, number 17, June.
    4. George Neumann, 1996. "Search Models and Duration Data," Econometrics 9602008, University Library of Munich, Germany, revised 07 Mar 1996.
    5. Martin David & Paul Menchik, 1988. "Changes in cohort wealth over a generation," Demography, Springer;Population Association of America (PAA), vol. 25(3), pages 317-335, August.
    6. Ofosu, Yaw., 1993. "Socio-economic change and evolution of cultural models of reproduction in Ghana: implications for population policy," ILO Working Papers 992920673402676, International Labour Organization.
    7. Cécile Chauvel & John O'Quigley, 2017. "Survival model construction guided by fit and predictive strength," Biometrics, The International Biometric Society, vol. 73(2), pages 483-494, June.
    8. Janet Griffith & Helen Koo & C. Suchindran, 1985. "Childbearing and family in remarriage," Demography, Springer;Population Association of America (PAA), vol. 22(1), pages 73-88, February.
    9. Michael Parzen & Stuart R. Lipsitz, 1999. "A Global Goodness-of-Fit Statistic for Cox Regression Models," Biometrics, The International Biometric Society, vol. 55(2), pages 580-584, June.
    10. Coen Rij & Willem Saris, 1993. "Time dependency of trade union membership," Quality & Quantity: International Journal of Methodology, Springer, vol. 27(1), pages 73-93, February.
    11. repec:ilo:ilowps:292067 is not listed on IDEAS
    12. Jane Menken & James Trussell & Debra Stempel & Ozer Babakol, 1981. "Proportional hazards life table models: an illustrative analysis of socio-demographic influences on marriage dissolution in the United States," Demography, Springer;Population Association of America (PAA), vol. 18(2), pages 181-200, May.
    13. James Trussell & Charles Hammerslough, 1983. "A hazards-Model analysis of the covariates of infant and child mortality in Sri Lanka," Demography, Springer;Population Association of America (PAA), vol. 20(1), pages 1-26, February.
    14. Yuxue Jin & Tze Leung Lai, 2017. "A new approach to regression analysis of censored competing-risks data," Lifetime Data Analysis: An International Journal Devoted to Statistical Methods and Applications for Time-to-Event Data, Springer, vol. 23(4), pages 605-625, October.
    15. Evelyn Lehrer, 1984. "The impact of child mortality on spacing by parity: A Cox-regression analysis," Demography, Springer;Population Association of America (PAA), vol. 21(3), pages 323-337, August.

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