WCE implements a flexible method for modeling cumulative effects of time-varying exposures, weighted according to their relative proximity in time, and represented by time-dependent covariates. The current implementation estimates the weight function in the Cox proportional hazards model. The function that assigns weights to doses taken in the past is estimated using cubic regression splines.
|Author||Marie-Pierre Sylvestre <firstname.lastname@example.org>, Marie-Eve Beauchamp <email@example.com>, Ryan Patrick Kyle <firstname.lastname@example.org>, Michal Abrahamowicz <email@example.com>|
|Date of publication||2015-01-14 01:59:06|
|Maintainer||Marie-Pierre Sylvestre <firstname.lastname@example.org>|
|License||GPL (>= 2)|
checkWCE: Verify that the arguments passed to the WCE function are in...
coef.WCE: Obtain estimated coefficients from WCE object
drugdata: Sample dataset for use with WCE package
HR.WCE: Obtain a hazard ratio (HR) from a WCE Cox proportional...
knots.WCE: Obtain the placement of the knots used for splines in WCE...
plot.WCE: Plot of the weight function(s) estimated by 'WCE'
summary.WCE: Method to summarize the results of a WCE object
vcov.WCE: Obtain variance-covariance matrix from WCE models
WCE: Fit weighted cumulative exposure models
wce-package: Weighted Cumulative Exposure Models