Package index • nomatchVE

Main functions

Primary user-facing functions

nomatchVE(): Main function to estimate marginal cumulative incidences and derived effect measures without matching

add_simultaneous_ci(): Add simultaneous confidence intervals to vaccine effectiveness fit

plot(<vefit>): Plot method for vefit objects

compare_ve_fits(): Compare two vefit objects

Matching-based estimation

Functions for matching cohort design and estimation

match_rolling_cohort(): Match vaccinated and unvaccinated individuals using rolling cohort design

matching_ve(): Compute a matching-based estimator of VE with confidence intervals

Proposed method estimation

Core estimation functions for the g-computation approach

fit_model_0() fit_model_1(): Fit survival models to estimate exposure-specific hazards for G-computation approach

get_observed_weights(): Estimate observed distributions of exposure eval_times and covariates

compute_psi_dx_t0(): Compute day- and covariate- specific cumulative incidences

marginalize_psi_dx_t0(): Marginalize conditional cumulative incidences

compute_psi_bar_times(): Compute overall cumulative incidences at multiple timepoints

Utilities

Helper functions for data manipulation and formatting

print(<vefit>): Print method for vaccine effectiveness fits

summary(<vefit>): Summary method for vaccine effectiveness fits

estimates_to_df(): Convert estimates to tidy long-format data frame

Data

simdata: Simulated dataset