Causal Inference and Prediction in Cohort-Based Analyses

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Documentation for package ‘RISCA’ version 1.0.7

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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.