Provides automatic pretransformation of variables (to well-scaled and nonzero values).

math

Implements weighted estimation in Cox regression as proposed by
Schemper, Wakounig and Heinze (Statistics in Medicine, 2009,
<doi:10.1002/sim.3623>) and as described in Dunkler, Ploner, Schemper and
Heinze (Journal of Statistical Software, 2018, <doi:10.18637/jss.v084.i02>).
Weighted Cox regression provides unbiased average hazard ratio
estimates also in case of non-proportional hazards.
Approximated generalized concordance probability an effect size measure for clear-cut
decisions can be obtained.
The package provides options to estimate time-dependent effects conveniently by
including interactions of covariates with arbitrary functions of time, with or without
making use of the weighting option.

Daniela Dunkler

coxphw

Weighted Estimation in Cox Regression

Georg Heinze

Meinhard Ploner

PT function

<dl> <dt>z</dt>
<dd>a vector of numerical values.</dd></dl>

PT: Pretransformation function

Description

Usage

Value

Arguments

Author

Details

See Also

Examples