tests/testthat/_snaps/adjustedsurv_S3.md

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

print.adjustedsurv

Unadjusted Survival Probabilities 
   - Method: Kaplan-Meier Estimator
   - Times: Event-Specific Times
   - Bootstrapping: Not Done
   - Approximate CI: Not calculated
   - Using a single dataset

summary.adjustedsurv, km

Unadjusted Survival Probabilities 
   - Method: Kaplan-Meier Estimator
   - Times: Event-Specific Times
   - Bootstrapping: Not Done
   - Approximate CI: Not calculated
   - Using a single dataset

summary.adjustedsurv, direct

Confounder Adjusted Survival Probabilities 
   - Method: Direct Standardization
   - Times: Event-Specific Times
   - Bootstrapping: Not Done
   - Approximate CI: Not calculated
   - Using a single dataset

summary.adjustedsurv, direct_pseudo

Confounder Adjusted Survival Probabilities 
   - Method: Direct Standardization: Pseudo-Values
   - Times: Event-Specific Times
   - Bootstrapping: Not Done
   - Approximate CI: Not calculated
   - Using a single dataset

summary.adjustedsurv, iptw_km

Confounder Adjusted Survival Probabilities 
   - Method: Inverse Probability of Treatment Weighting: Kaplan-Meier
   - Times: Event-Specific Times
   - Bootstrapping: Not Done
   - Approximate CI: Not calculated
   - Using a single dataset

summary.adjustedsurv, iptw_cox

Confounder Adjusted Survival Probabilities 
   - Method: Inverse Probability of Treatment Weighting: Cox-Regression
   - Times: Event-Specific Times
   - Bootstrapping: Not Done
   - Approximate CI: Not calculated
   - Using a single dataset

summary.adjustedsurv, iptw_pseudo

Confounder Adjusted Survival Probabilities 
   - Method: Inverse Probability of Treatment Weighting: Pseudo-Values
   - Times: Event-Specific Times
   - Bootstrapping: Not Done
   - Approximate CI: Not calculated
   - Using a single dataset

summary.adjustedsurv, matching

Confounder Adjusted Survival Probabilities 
   - Method: Propensity Score Matching
   - Times: Event-Specific Times
   - Bootstrapping: Not Done
   - Approximate CI: Not calculated
   - Using a single dataset

summary.adjustedsurv, emp_lik

Confounder Adjusted Survival Probabilities 
   - Method: Empirical Likelihood Estimation
   - Times: Event-Specific Times
   - Bootstrapping: Not Done
   - Approximate CI: Not calculated
   - Using a single dataset

summary.adjustedsurv, aiptw

Confounder Adjusted Survival Probabilities 
   - Method: Augmented Inverse Probability of Treatment Weighting
   - Times: Event-Specific Times
   - Bootstrapping: Not Done
   - Approximate CI: Not calculated
   - Using a single dataset

summary.adjustedsurv, aiptw_pseudo

Confounder Adjusted Survival Probabilities 
   - Method: Augmented Inverse Probability of Treatment Weighting: Pseudo-Values
   - Times: Event-Specific Times
   - Bootstrapping: Not Done
   - Approximate CI: Not calculated
   - Using a single dataset

summary.adjustedsurv, tmle

Confounder Adjusted Survival Probabilities 
   - Method: Targeted Maximum Likelihood Estimator
   - Times: Event-Specific Times
   - Bootstrapping: Not Done
   - Approximate CI: Not calculated
   - Using a single dataset

summary.adjustedsurv, strat_amato

Confounder Adjusted Survival Probabilities 
   - Method: Stratification & Weighting by Amato
   - Times: Event-Specific Times
   - Bootstrapping: Not Done
   - Approximate CI: Not calculated
   - Using a single dataset

summary.adjustedsurv, strat_nieto

Confounder Adjusted Survival Probabilities 
   - Method: Stratification & Weighting by Gregory / Nieto & Coresh
   - Times: Event-Specific Times
   - Bootstrapping: Not Done
   - Approximate CI: Not calculated
   - Using a single dataset

summary.adjustedsurv, strat_cupples

Confounder Adjusted Survival Probabilities 
   - Method: Stratification & Weighting by Cupples et al.
   - Times: Event-Specific Times
   - Bootstrapping: Not Done
   - Approximate CI: Not calculated
   - Using a single dataset

summary.adjustedsurv, iv_2SRIF

Confounder Adjusted Survival Probabilities 
   - Method: Instrumental Variable Estimator (2SRI-F)
   - Times: Event-Specific Times
   - Bootstrapping: Not Done
   - Approximate CI: Not calculated
   - Using a single dataset

summary.adjustedsurv, prox_iptw

Confounder Adjusted Survival Probabilities 
   - Method: Proximal Causal Inference Based IPTW
   - Times: Event-Specific Times
   - Bootstrapping: Not Done
   - Approximate CI: Not calculated
   - Using a single dataset

summary.adjustedsurv, prox_aiptw

Confounder Adjusted Survival Probabilities 
   - Method: Proximal Causal Inference Based AIPTW
   - Times: Event-Specific Times
   - Bootstrapping: Not Done
   - Approximate CI: Not calculated
   - Using a single dataset

summary.adjustedsurv, with boot

Confounder Adjusted Survival Probabilities 
   - Method: Proximal Causal Inference Based AIPTW
   - Times: Event-Specific Times
   - Bootstrapping: Performed with 500 Replications
   - Approximate CI: Not calculated
   - Using a single dataset

summary.adjustedsurv, with conf_int

Confounder Adjusted Survival Probabilities 
   - Method: Proximal Causal Inference Based AIPTW
   - Times: Event-Specific Times
   - Bootstrapping: Performed with 500 Replications
   - Approximate CI: Calculated with a confidence level of 0.95
   - Using a single dataset

summary.adjustedsurv, with mids

Confounder Adjusted Survival Probabilities 
   - Method: Proximal Causal Inference Based AIPTW
   - Times: Event-Specific Times
   - Bootstrapping: Performed with 500 Replications
   - Approximate CI: Calculated with a confidence level of 0.95
   - Using multiply imputed dataset

adjustedCurves documentation built on Sept. 11, 2024, 8:58 p.m.