auc |
Area Under ROC Curve From Sensitivities And Specificities. |
dataCSL |
CSL Liver Chirrosis Data. |
dataDIVAT1 |
A First Sample From The DIVAT Data Bank. |
dataDIVAT2 |
A Second Sample From the DIVAT Data Bank. |
dataDIVAT3 |
A Third Sample From the DIVAT Data Bank. |
dataDIVAT4 |
A Fourth Sample From the DIVAT Data Bank. |
dataDIVAT5 |
The Aggregated Kidney Graft Survival Stratified By The 1-year Serum Creatinine. |
dataFTR |
Data for First Kidney Transplant Recipients. |
dataHepatology |
The Data Extracted From The Meta-Analysis By Cabibbo et al. (2010). |
dataKi67 |
The Aggregated Data Published By de Azambuja et al. (2007). |
dataKTFS |
A Sixth Sample Of The DIVAT Cohort. |
dataOFSEP |
A Simulated Sample From the OFSEP Cohort. |
dataSTR |
Data for Second Kidney Transplant Recipients. |
expect.utility1 |
Cut-Off Estimation Of A Prognostic Marker (Only One Observed Group). |
expect.utility2 |
Cut-Off Estimation Of A Prognostic Marker (Two Groups Are observed). |
fr.ratetable |
Expected Mortality Rates of the General French Population |
gc.logistic |
Marginal Effect for Binary Outcome by G-computation. |
gc.sl.binary |
Marginal Effect for Binary Outcome by Super Learned G-computation. |
gc.survival |
Marginal Effect for Censored Outcome by G-computation with a Cox Regression for the Outcome Model. |
ipw.log.rank |
Log-Rank Test for Adjusted Survival Curves. |
ipw.survival |
Adjusted Survival Curves by Using IPW. |
lines.rocrisca |
Add Lines to a ROC Plot |
lrs.multistate |
Likelihood Ratio Statistic to Compare Embedded Multistate Models |
markov.3states |
3-State Time-Inhomogeneous Markov Model |
markov.3states.rsadd |
3-state Relative Survival Markov Model with Additive Risks |
markov.4states |
4-State Time-Inhomogeneous Markov Model |
markov.4states.rsadd |
4-state Relative Survival Markov Model with Additive Risks |
mixture.2states |
Horizontal Mixture Model for Two Competing Events |
plot.rocrisca |
Plot Method for 'rocrisca' Objects |
plot.survrisca |
Plot Method for 'survrisca' Objects |
port |
POsitivity-Regression Tree (PoRT) Algorithm to Identify Positivity Violations. |
pred.mixture.2states |
Cumulative Incidence Function Form Horizontal Mixture Model With Two Competing Events |
rmst |
Restricted Mean Survival Times. |
roc.binary |
ROC Curves For Binary Outcomes. |
roc.net |
Net Time-Dependent ROC Curves With Right Censored Data. |
roc.prognostic.aggregate |
Prognostic ROC Curve Based on Survival Probabilities |
roc.prognostic.individual |
Prognostic ROC Curve based on Individual Data |
roc.summary |
Summary ROC Curve For Aggregated Data. |
roc.time |
Time-Dependent ROC Curves With Right Censored Data. |
semi.markov.3states |
3-State Semi-Markov Model |
semi.markov.3states.ic |
3-State Semi-Markov Model With Interval-Censored Data |
semi.markov.3states.rsadd |
3-State Relative Survival Semi-Markov Model With Additive Risks |
semi.markov.4states |
4-State Semi-Markov Model |
semi.markov.4states.rsadd |
4-State Relative Survival Semi-Markov Model With Additive Risks |
survival.mr |
Multiplicative-Regression Model to Compare the Risk Factors Between Two Reference and Relative Populations |
survival.summary |
Summary Survival Curve From Aggregated Data |
survival.summary.strata |
Summary Survival Curve And Comparison Between Strata. |