ROCt (0.9.5)

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Time-Dependent ROC Curve Estimators and Expected Utility Functions.

www.r-project.org
www.divat.fr
http://cran.r-project.org/web/packages/ROCt

Contains functions in order to estimate diagnostic and prognostic capacities of continuous markers. More precisely, one function concerns the estimation of time-dependent ROC (ROCt) curve, as proposed by Heagerty et al. (2000) . One function concerns the adaptation of the ROCt theory for studying the capacity of a marker to predict the excess of mortality of a specific population compared to the general population. This last part is based on additive relative survival models and the work of Pohar-Perme et al. (2012) . We also propose two functions for cut-off estimation in medical decision making by maximizing time-dependent expected utility function. Finally, we propose confounder-adjusted estimators of ROC and ROCt curves by using the Inverse Probability Weighting (IPW) approach. For the confounder-adjusted ROC curve (without censoring), we also proposed the implementation of the estimator based on placement values proposed by Pepe and Cai (2004) .

Maintainer: Y. Foucher
Author(s): Y. Foucher, E. Dantan, F. Le Borgne, and M. Lorent

License: GPL (>= 2)

Uses: date, relsurv, survival, timereg

Released 2 months ago.


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