An improved corrected score estimator for the proportional hazards model with time-dependent covariates measured with error at informative observation times

2017 ◽  
Author(s):  
Xiao Song
Keyword(s):  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Time Dependent ◽  
Informative Observation Times ◽  
Hazards Model ◽  
Corrected Score ◽  
Time Dependent Covariates ◽  
Observation Times

The Joint Analysis of Survival Times and Response Rates in Clinical Trials on the Treatment of Cancer

1980 ◽  
Vol 19 (02) ◽  
pp. 112-114 ◽  
Author(s):  
J. Wahrendorf
Keyword(s):  
Clinical Trial ◽  
Survival Data ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Time Dependent ◽  
Joint Analysis ◽  
Survival Times ◽  
Logrank Test ◽  
Hazards Model ◽  
Time Dependent Covariates

A method is outlined which allows to analyse survival and response data from a clinical trial on the treatment of cancer when the question of interest is whether the somehow defined response to the treatment has an influence on patients’ survival times. This can be done by making use of Cox’s proportional hazards model for survival data together with time-dependent covariates. This allows an appropriate classification of non-respondors and responders by considering the time of diagnosis of response during follow-up. The resulting test can be viewed as a time-dependent logrank test. An example from a clinical trial on gastrointestinal cancer is considered.

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