Accelerated hazards regression model and its adequacy for censored survival data.
The accelerated hazards regression model is introduced to study the relationship between survival times and covariates through a scale change between hazard functions. The model is also compared with several other popular classes of regression models for censored survival data in statistical literature. Test statistics are proposed and studied to assess the model's adequacy. Actual data from a randomized clinical trial of biodegradable carmustine polymer for treatment of brain cancer are analyzed to demonstrate the potential application of the regression model and the proposed test statistics.
Chen
Y Q
YQ
Division of Biostatistics, School of Public Health, University of California, Berkeley 94720, USA. yqchen@stat.berkeley.edu
D018906:Antineoplastic Agents, Alkylating / Q000008:administration & dosage; D001699:Biometry; D001932:Brain Neoplasms / Q000188:drug therapy / Q000401:mortality; D002330:Carmustine / Q000008:administration & dosage; D005910:Glioma / Q000188:drug therapy / Q000401:mortality; D006801:Humans; D009364:Neoplasm Recurrence, Local / Q000188:drug therapy / Q000401:mortality; D016016:Proportional Hazards Models; D016032:Randomized Controlled Trials as Topic / Q000706:statistics & numerical data; D012044:Regression Analysis; D016019:Survival Analysis
D018906:Antineoplastic Agents, Alkylating; D002330:Carmustine