R: Causal Inference and Prediction in Cohort-Based Analyses

# Causal Inference and Prediction in Cohort-Based Analyses

## Documentation for package ‘RISCA’ version 1.0.7

- DESCRIPTION file
- Package README

## Help Pages

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.