, Volume 8, Issue 1, pp 2134
First online:
Validation of A Heteroscedastic Hazards Regression Model
 HongDar Isaac WuAffiliated withSchool of Public Health, China Medical College
 , Fushing HsiehAffiliated withInstitute of Statistical Science, Academia Sinica
 , ChenHsin ChenAffiliated withSchool of Public Health, China Medical College
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A Coxtype regression model accommodating heteroscedasticity, with a power factor of the baseline cumulative hazard, is investigated for analyzing data with crossing hazards behavior. Since the approach of partial likelihood cannot eliminate the baseline hazard, an overidentified estimating equation (OEE) approach is introduced in the estimation procedure. Its byproduct, a model checking statistic, is presented to test for the overall adequacy of the heteroscedastic model. Further, under the heteroscedastic model setting, we propose two statistics to test the proportional hazards assumption. Implementation of this model is illustrated in a data analysis of a cancer clinical trial.
 Title
 Validation of A Heteroscedastic Hazards Regression Model
 Journal

Lifetime Data Analysis
Volume 8, Issue 1 , pp 2134
 Cover Date
 200203
 DOI
 10.1023/A:1013566631377
 Print ISSN
 13807870
 Online ISSN
 15729249
 Publisher
 Kluwer Academic Publishers
 Additional Links
 Topics
 Keywords

 heteroscedasticity
 Cox model
 proportional hazards
 crossing hazards
 Industry Sectors
 Authors

 HongDar Isaac Wu ^{(1)}
 Fushing Hsieh ^{(2)}
 ChenHsin Chen ^{(1)}
 Author Affiliations

 1. School of Public Health, China Medical College, 91 HsuehShih Rd., Taichung, 40443, Taiwan
 2. Institute of Statistical Science, Academia Sinica, Taipei, 11529, Taiwan