Access the full text.
Sign up today, get DeepDyve free for 14 days.
Loading next page...
/lp/oxford-university-press/chi-squared-goodness-of-fit-tests-for-the-proportional-hazards-LEmqDjBE2Q
References (8)
-
J. Kalbfleisch, R. Prentice (1973)
Marginal likelihoods based on Cox's regression and life modelBiometrika, 60
-
G. Watson (1959)
Some Recent Results in Chi-Square Goodness-of-Fit TestsBiometrics, 15
-
J. Kalbfleisch, A. McINTOSH (1977)
Efficiency in survival distributions with time-dependent covariablesBiometrika, 64
-
Calyampudi Rao (1965)
Linear statistical inference and its applications -
D. Cox (1972)
Regression models and life tables (with discussion -
D. Oakes (1977)
The asymptotic information in censored survival dataBiometrika, 64
-
R. Kay (1977)
Proportional Hazard Regression Models and the Analysis of Censored Survival DataJournal of The Royal Statistical Society Series C-applied Statistics, 26
-
B. Efron (1977)
The Efficiency of Cox's Likelihood Function for Censored DataJournal of the American Statistical Association, 72
- Publisher
- Oxford University Press
- Copyright
- Copyright © 2022 Biometrika Trust
- ISSN
- 0006-3444
- eISSN
- 1464-3510
- DOI
- 10.1093/biomet/67.1.145
- Publisher site
- See Article on Publisher Site
Abstract
Abstract SUMMARY A class of omnibus chi-squared goodness-of-fit tests is presented for the model, relating failure time to covariate values, proposed by Cox (1972). These tests are based on the expected and observed frequency that a data point, representing a failure with associated covariates, falls into one of L mutually exclusive categories. Different partitions of the space of covariate values and failure time will yield different tests. Certain partitions are suggested for the goodness-of-fit problems commonly encountered in clinical trials. This content is only available as a PDF. © 1980 Biometrika Trust
Journal
Biometrika – Oxford University Press
Published: Jan 1, 1980