6533b7d5fe1ef96bd126496d

RESEARCH PRODUCT

Segmented relationships to model erosion of regression effect in Cox regression

Massimo AttanasioVito M. R. Muggeo

subject

Statistics and ProbabilitybreakpointEpidemiologyProportional hazards modelLiver Cirrhosis BiliaryErosion (morphology)Lupus NephritisSet (abstract data type)Segmented regressionHealth Information ManagementNonlinear DynamicsRegression toward the meanCox modelCovariateStatisticsEconometricsHumansComputer SimulationSettore SECS-S/05 - Statistica SocialeSettore SECS-S/01 - Statisticaerosion of effectStatistical hypothesis testingMathematicsFollow-Up StudiesProportional Hazards Models

description

In this article we propose a parsimonious parameterisation to model the so-called erosion of the covariate effect in the Cox model, namely a covariate effect approaching to zero as the follow-up time increases. The proposed parameterisation is based on the segmented relationship where proper constraints are set to accomodate for the erosion. Relevant hypothesis testing is discussed. The approach is illustrated on two historical datasets in the survival analysis literature, and some simulation studies are presented to show how the proposed framework leads to a test for a global effect with good power as compared with alternative procedures. Finally, possible generalisations are also presented for future research.

yearjournalcountryeditionlanguage
2010-03-13
10.1177/0962280209358643http://hdl.handle.net/10447/44561