Formulas for the Kaplan–Meier estimator | Formulas for the Aalen-Johansen estimator | Confidence interval options

Quick start | Why cifmodeling? | Tools for survival and competing risks analysis | Position in the survival ecosystem | Installation | Quality control

cifcurve() | cifplot() | cifpanel() | polyreg()

Default for survival data | Default for competing risks data | Visual elements | Risk ratio label | Panel mode | Zoomed-in-view | Font, style and palette | Axis and label | Proportional hazards check by a log-log plot

Model formula and outcome.type in cifcurve() and polyreg() | Event coding conventions incifmodeling and CDISC ADaM ADTTE | Key arguments of msummary() that are helpful when reporting polyreg() results | Processing pipeline of cifcurve() | Processing pipeline of polyreg() | Reproducibility and conventions for polyreg()

Why direct modeling of CIFs? | Coherent modeling of CIFs using polytomous log odds products | 1. Nuisance model | 2. Effect measures and time points | 3. Censoring adjustment | Estimator and confidence intervals | Return

Example 1. Unadjusted competing risks analysis | Example 2. Survival analysis | Example 3. Adjusted competing risks analysis | Example 4. Description of cumulative incidence of competing events