ROCt: Time-Dependent ROC Curve Estimators and Expected Utility Functions
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) <DOI: 10.1111/j.0006-341X.2000.00337.x>. 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) <DOI: 10.1111/j.1541-0420.2011.01640.x>. 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) <DOI: 10.1111/j.0006-341X.2004.00200.x>.
- Y. Foucher, E. Dantan, P. Tessier, F. Le Borgne, and M. Lorent
- Date of publication
- 2016-03-09 23:12:21
- Y. Foucher <Yohann.Foucher@univ-nantes.fr>
- GPL (>= 2)
- Confounders-Adjusted ROC Curves Without Right Censored Data.
- Confounders-Adjusted Time-Dependent ROC Curves With Right...
- Area Under ROC Curve From Sensitivities And Specificities.
- Time-Dependent ROC Curves With Right Censored Data.
- A Sample Of The DIVAT Cohort (Mortality).
- A Sample Of The DIVAT cohort (Kidney Transplant Failure...
- Optimal Cut-Off Estimation Of A Prognostic Marker (Only One...
- Optimal Cut-Off Estimation Of A Prognostic Marker (The Two...
- Expected Mortality Rates Of The General French Population.
- Net Time-Dependent ROC Curves With Right Censored Data.
- Expected Mortality Of French Patients With ESKD.
- Time-Dependent ROC Curve Estimators and Expected Utility...
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