Understanding Landmarking and Its Relation with Time-Dependent Cox Regression

Hein Putter () and Hans C. Houwelingen ()
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Hein Putter: Leiden University Medical Center
Hans C. Houwelingen: Leiden University Medical Center

Statistics in Biosciences, 2017, vol. 9, issue 2, No 10, 489-503

Abstract: Abstract Time-dependent Cox regression and landmarking are the two most commonly used approaches for the analysis of time-dependent covariates in time-to-event data. The estimated effect of the time-dependent covariate in a landmarking analysis is based on the value of the time-dependent covariate at the landmark time point, after which the time-dependent covariate may change value. In this note we derive expressions for the (time-varying) regression coefficient of the time-dependent covariate in the landmark analysis, in terms of the regression coefficient and baseline hazard of the time-dependent Cox regression. These relations are illustrated using simulation studies and using the Stanford heart transplant data.

Keywords: Landmarking; Time-dependent covariates; Time-dependent Cox regression (search for similar items in EconPapers)
Date: 2017
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DOI: 10.1007/s12561-016-9157-9

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