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The restricted cubic spline hazard model

Publication ,  Journal Article
Herndon, JE; Harrell, FE
Published in: Communications in Statistics - Theory and Methods
January 1, 1990

A cubic spline hazard model where the tails are linearly constrained (Stone and Koo, 1985) has considerable flexibility in describing data which has been generated from distributions having a variety of hazard function shapes. This model is as efficient as the Kaplan-Meier (1958) estimator for estimating survival probabilities. © 1990, Taylor & Francis Group, LLC. All rights reserved.

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Published In

Communications in Statistics - Theory and Methods

DOI

EISSN

1532-415X

ISSN

0361-0926

Publication Date

January 1, 1990

Volume

19

Issue

2

Start / End Page

639 / 663

Related Subject Headings

  • Statistics & Probability
  • 4905 Statistics
  • 0199 Other Mathematical Sciences
  • 0104 Statistics
 

Citation

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Herndon, J. E., & Harrell, F. E. (1990). The restricted cubic spline hazard model. Communications in Statistics - Theory and Methods, 19(2), 639–663. https://doi.org/10.1080/03610929008830224
Herndon, J. E., and F. E. Harrell. “The restricted cubic spline hazard model.” Communications in Statistics - Theory and Methods 19, no. 2 (January 1, 1990): 639–63. https://doi.org/10.1080/03610929008830224.
Herndon JE, Harrell FE. The restricted cubic spline hazard model. Communications in Statistics - Theory and Methods. 1990 Jan 1;19(2):639–63.
Herndon, J. E., and F. E. Harrell. “The restricted cubic spline hazard model.” Communications in Statistics - Theory and Methods, vol. 19, no. 2, Jan. 1990, pp. 639–63. Scopus, doi:10.1080/03610929008830224.
Herndon JE, Harrell FE. The restricted cubic spline hazard model. Communications in Statistics - Theory and Methods. 1990 Jan 1;19(2):639–663.

Published In

Communications in Statistics - Theory and Methods

DOI

EISSN

1532-415X

ISSN

0361-0926

Publication Date

January 1, 1990

Volume

19

Issue

2

Start / End Page

639 / 663

Related Subject Headings

  • Statistics & Probability
  • 4905 Statistics
  • 0199 Other Mathematical Sciences
  • 0104 Statistics