Function reference • adjustedCurves

All functions

CSC_MI(): Cause-Specific Cox Regression with Multiple Imputation

FGR_MI(): Fine & Gray Model with Multiple Imputation

adjustedCurves-package: Confounder-Adjusted Survival Curves and Cumulative Incidence Functions

adjusted_curve_diff() adjusted_curve_ratio(): Estimate the difference between or the ratio of two Confounder-Adjusted Survival Curves or CIFs

adjusted_curve_test(): Test if there is a difference between two Confounder-Adjusted Survival Curves or CIFs

adjusted_rmst(): Estimate Confounder-Adjusted Restricted Mean Survival Times

adjusted_rmtl(): Estimate Confounder-Adjusted Restricted Mean Time Lost

adjusted_surv_quantile(): Estimate Confounder-Adjusted Survival Time Quantiles

adjustedcif(): Estimate Cause-Specific Confounder-Adjusted Cumulative Incidence Functions

adjustedsurv(): Estimate Confounder-Adjusted Survival Curves

as_ggsurvplot_df(): Extract a data.frame containing the estimated survival curves from a adjustedsurv object

cif_aalen_johansen: Group-Specific Aalen-Johansen CIFs

cif_aiptw: Augmented Inverse Probability of Treatment Weighted CIFs

cif_aiptw_pseudo: Augmented Inverse Probability of Treatment Weighted CIFs using Pseudo-Values

cif_direct: Direct Adjusted Cumulative Incidence Functions

cif_direct_pseudo: Direct Adjusted CIFs using Pseudo-Values

cif_iptw: Inverse Probability of Treatment Weighted CIFs

cif_iptw_pseudo: Inverse Probability of Treatment Weighted CIFs using Pseudo-Values

cif_matching: Using Propensity-Score Matching to Calculate Adjusted CIFs

models_cif_direct: List of supported models in cif_direct

models_surv_direct: List of supported models in surv_direct

plot(<adjustedcif>): Plot Confounder-Adjusted Cumulative Incidence Functions

plot(<adjustedsurv>): Plot Confounder-Adjusted Survival Curves

plot(<curve_test>): Plot Method for curve_test Objects

plot_curve_diff() plot_curve_ratio(): Plot the Difference Between or the Ratio of Two Adjusted Survival Curves or CIFs

plot_rmst_curve(): Plot Adjusted Restricted Mean Survival Time Curves

plot_rmtl_curve(): Plot Adjusted Restricted Mean Time Lost Curves

print(<curve_test>): Print Method for curve_test Objects

sim_confounded_crisk(): Simulate Competing Risks Data with Confounders

sim_confounded_surv(): Simulate Survival Data with Confounders

surv_aiptw: Augmented Inverse Probability of Treatment Weighted Survival Curves

surv_aiptw_pseudo: Augmented Inverse Probability of Treatment Weighted Survival Curves using Pseudo-Values

surv_direct: Direct Adjusted Survival Curves

surv_direct_pseudo: Direct Adjusted Survival Curves using Pseudo-Values

surv_emp_lik: Empirical Likelihood Estimation Survival Curves

surv_iptw_cox: Inverse Probability of Treatment Weighted Survival using Cox-Regression

surv_iptw_km: Inverse Probability of Treatment Weighted Kaplan-Meier estimates

surv_iptw_pseudo: Inverse Probability of Treatment Weighted Survival Estimates using Pseudo-Values

surv_iv_2SRIF: Instrumental Variable based Survival Curve Estimation using the Two Stage Residual Inclusion method with a Frailty Term (2SRI-F)

surv_km: Group-Specific Kaplan-Meier Survival Curves

surv_matching: Using Propensity-Score Matching to Calculate Adjusted Survival Curves

surv_prox_aiptw: Proximal Augmented Inverse Probability of Treatment Weighted Survival Curve Estimates

surv_prox_iptw: Proximal Inverse Probability of Treatment Weighted Survival Curve Estimates

surv_strat_amato: Adjusted Survival Curves for Categorical Confounders using the Method by Amato (1988)

surv_strat_cupples: Adjusted Survival Curves for Categorical Confounders using the Method by Cupples et al. (1995)

surv_strat_nieto: Adjusted Survival Curves for Categorical Confounders using the Method by Gregory (1988) and Nieto & Coresh (1996)