tests/testthat/_snaps/adjustedcif_S3.md

print.adjustedcif

Unadjusted Cumulative Incidences 
   - Cause of Interest: 1
   - Method: Aalen-Johansen Estimator
   - Times: Event-Specific Times
   - Bootstrapping: Not Done
   - Approximate CI: Not Calculated
   - Using a single dataset

summary.adjustedcif, aalen_johansen

Unadjusted Cumulative Incidences 
   - Cause of Interest: 1
   - Method: Aalen-Johansen Estimator
   - Times: Event-Specific Times
   - Bootstrapping: Not Done
   - Approximate CI: Not Calculated
   - Using a single dataset

summary.adjustedcif, direct

Confounder Adjusted Cumulative Incidences 
   - Cause of Interest: 1
   - Method: Direct Standardization
   - Times: Event-Specific Times
   - Bootstrapping: Not Done
   - Approximate CI: Not Calculated
   - Using a single dataset

summary.adjustedcif, direct_pseudo

Confounder Adjusted Cumulative Incidences 
   - Cause of Interest: 1
   - Method: Direct Standardization: Pseudo-Values
   - Times: Event-Specific Times
   - Bootstrapping: Not Done
   - Approximate CI: Not Calculated
   - Using a single dataset

summary.adjustedcif, iptw

Confounder Adjusted Cumulative Incidences 
   - Cause of Interest: 1
   - Method: Inverse Probability of Treatment Weighting
   - Times: Event-Specific Times
   - Bootstrapping: Not Done
   - Approximate CI: Not Calculated
   - Using a single dataset

summary.adjustedcif, iptw_pseudo

Confounder Adjusted Cumulative Incidences 
   - Cause of Interest: 1
   - Method: Inverse Probability of Treatment Weighting: Pseudo-Values
   - Times: Event-Specific Times
   - Bootstrapping: Not Done
   - Approximate CI: Not Calculated
   - Using a single dataset

summary.adjustedcif, matching

Confounder Adjusted Cumulative Incidences 
   - Cause of Interest: 1
   - Method: Propensity Score Matching
   - Times: Event-Specific Times
   - Bootstrapping: Not Done
   - Approximate CI: Not Calculated
   - Using a single dataset

summary.adjustedcif, aiptw

Confounder Adjusted Cumulative Incidences 
   - Cause of Interest: 1
   - Method: Augmented Inverse Probability of Treatment Weighting
   - Times: Event-Specific Times
   - Bootstrapping: Not Done
   - Approximate CI: Not Calculated
   - Using a single dataset

summary.adjustedcif, aiptw_pseudo

Confounder Adjusted Cumulative Incidences 
   - Cause of Interest: 1
   - 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.adjustedcif, tmle

Confounder Adjusted Cumulative Incidences 
   - Cause of Interest: 1
   - Method: Targeted Maximum Likelihood Estimator
   - Times: Event-Specific Times
   - Bootstrapping: Not Done
   - Approximate CI: Not Calculated
   - Using a single dataset

summary.adjustedcif, with boot

Confounder Adjusted Cumulative Incidences 
   - Cause of Interest: 1
   - Method: Targeted Maximum Likelihood Estimator
   - Times: Event-Specific Times
   - Bootstrapping: Performed with 500 Replications
   - Approximate CI: Not Calculated
   - Using a single dataset

summary.adjustedcif, with conf_int

Confounder Adjusted Cumulative Incidences 
   - Cause of Interest: 1
   - Method: Targeted Maximum Likelihood Estimator
   - Times: Event-Specific Times
   - Bootstrapping: Performed with 500 Replications
   - Approximate CI: Calculated with a Confidence level of 0.95
   - Using a single dataset

summary.adjustedcif, with mids

Confounder Adjusted Cumulative Incidences 
   - Cause of Interest: 1
   - Method: Targeted Maximum Likelihood Estimator
   - Times: Event-Specific Times
   - Bootstrapping: Performed with 500 Replications
   - Approximate CI: Calculated with a Confidence level of 0.95
   - Using multiply imputed dataset


RobinDenz1/adjustedCurves documentation built on Sept. 27, 2024, 7:04 p.m.