Assessing cumulative incidence functions under the semiparametric additive risk model.

  title={Assessing cumulative incidence functions under the semiparametric additive risk model.},
  author={Seunggeun Hyun and Yanqing Sun and Rajeshwari Sundaram},
  journal={Statistics in medicine},
  volume={28 22},
In analyzing competing risks data, a quantity of considerable interest is the cumulative incidence function. Often, the effect of covariates on the cumulative incidence function is modeled via the proportional hazards model for the cause-specific hazard function. As the proportionality assumption may be too restrictive in practice, we consider an alternative more flexible semiparametric additive hazards model of (Biometrika 1994; 81:501-514) for the cause-specific hazard. This model specifies… CONTINUE READING

From This Paper

Figures, tables, results, connections, and topics extracted from this paper.
4 Extracted Citations
11 Extracted References
Similar Papers

Referenced Papers

Publications referenced by this paper.
Showing 1-10 of 11 references

Checking the Cox model with cumulative sums of martingale-based residuals

  • DY Lin, LJ Wei, Z. Ying
  • Biometrika
  • 1993
Highly Influential
3 Excerpts

Dynamic Regression Models for Survival Data

  • T Martinussen, TH Scheike
  • 2006
1 Excerpt

Semiparametric analysis of the additive risk model

  • DY Lin, Z. Ying
  • Biometrika
  • 1994
2 Excerpts

Cox’s regression model for counting processess: A large sample study

  • PK Andersen, RD Gill
  • Annals of Statistics,
  • 1982
1 Excerpt

Regression models and life tables (with discussion)

  • DR Cox
  • Journal of royal statistical society, series –B,
  • 1972
1 Excerpt

Similar Papers

Loading similar papers…