coxphw (4.0.0)

0 users

Weighted Estimation in Cox Regression.

http://cran.r-project.org/web/packages/coxphw

Implements weighted estimation in Cox regression as proposed by Schemper, Wakounig and Heinze (Statistics in Medicine, 2009, ). 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.

Maintainer: Georg Heinze
Author(s): Georg Heinze [aut, cre], Meinhard Ploner [aut], Daniela Dunkler [aut]

License: GPL-2

Uses: survival, knitr, rmarkdown

Released 6 months ago.


6 previous versions

Ratings

Overall:

  (0 votes)

Documentation:

  (0 votes)

Log in to vote.

Reviews

No one has written a review of coxphw yet. Want to be the first? Write one now.


Related packages: BMA, BayHaz, DAAG, DPpackage, Epi, ICE, KMsurv, LearnBayes, LogicReg, MCMCpack, MLEcens, NADA, NestedCohort, SMPracticals, VGAM, aster, bayesSurv, boot, clinfun, cmprsk(20 best matches, based on common tags.)


Search for coxphw on google, google scholar, r-help, r-devel.

Visit coxphw on R Graphical Manual.