Skip to main content
Journal cover image

Regression analysis for long-term survival rate

Publication ,  Journal Article
Jung, SH
Published in: Biometrika
January 1, 1996

A method of regression analysis for long-term survival rate, when the survival times are subject to right censoring, is proposed. Under some mild conditions, the regression estimate is consistent and has an asymptotically normal distribution. The procedures are illustrated with the data from a clinical trial. Results from Monte Carlo studies show that the new procedures are reliable for practical use.

Duke Scholars

Published In

Biometrika

DOI

ISSN

0006-3444

Publication Date

January 1, 1996

Volume

83

Issue

1

Start / End Page

227 / 232

Related Subject Headings

  • Statistics & Probability
  • 4905 Statistics
  • 3802 Econometrics
  • 1403 Econometrics
  • 0104 Statistics
  • 0103 Numerical and Computational Mathematics
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Jung, S. H. (1996). Regression analysis for long-term survival rate. Biometrika, 83(1), 227–232. https://doi.org/10.1093/biomet/83.1.227
Jung, S. H. “Regression analysis for long-term survival rate.” Biometrika 83, no. 1 (January 1, 1996): 227–32. https://doi.org/10.1093/biomet/83.1.227.
Jung SH. Regression analysis for long-term survival rate. Biometrika. 1996 Jan 1;83(1):227–32.
Jung, S. H. “Regression analysis for long-term survival rate.” Biometrika, vol. 83, no. 1, Jan. 1996, pp. 227–32. Scopus, doi:10.1093/biomet/83.1.227.
Jung SH. Regression analysis for long-term survival rate. Biometrika. 1996 Jan 1;83(1):227–232.
Journal cover image

Published In

Biometrika

DOI

ISSN

0006-3444

Publication Date

January 1, 1996

Volume

83

Issue

1

Start / End Page

227 / 232

Related Subject Headings

  • Statistics & Probability
  • 4905 Statistics
  • 3802 Econometrics
  • 1403 Econometrics
  • 0104 Statistics
  • 0103 Numerical and Computational Mathematics