coxphw

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.

Last 30 days

This package has been downloaded 431 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 15 times.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.

Last 365 days

This package has been downloaded 5,672 times in the last 365 days. A solid achievement! Enough downloads to get noticed at department meetings. The day with the most downloads was Feb 12, 2025 with 63 downloads.

The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.