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A Measure of Dependence for the Stratified Cox Proportional Hazards Regression Model
Author(s) -
Heinzl Harald,
Mittlböck Martina
Publication year - 2002
Publication title -
biometrical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.108
H-Index - 63
eISSN - 1521-4036
pISSN - 0323-3847
DOI - 10.1002/1521-4036(200209)44:6<671::aid-bimj671>3.0.co;2-e
Subject(s) - proportional hazards model , measure (data warehouse) , statistics , regression analysis , econometrics , mathematics , factor regression model , regression , linear regression , cover (algebra) , proper linear model , polynomial regression , computer science , data mining , engineering , mechanical engineering
Kent and O'Quigley (1988) apply the concept of information gain to measure both global and partial dependence between explanatory variables and a censored response within the framework of the proportional hazards regression model of Cox (1972). The definition of this measure is extended to cover also the stratified Cox model.