Obtain estimated hazard ratios in a tidy data frame from a surv_ate
object and
compare them to benchmark hazard ratios (e.g., from target randomized clinical
trials). Quickly plot comparisons of the estimated hazard ratios to the benchmarks
using autoplot()
. Generate a pretty HTML table with 95 percent confidence
intervals using html_table()
.
benchmark_hazard_ratios( object, benchmarks = NULL, benchmark_estimate = "estimate", benchmark_lower = "lower", benchmark_upper = "upper" ) # S3 method for benchmarked_hazard_ratios autoplot( object, xlab = "Benchmark hazard ratio", ylab = "Estimated hazard ratio", scale_breaks = seq(0.4, 2, 0.2), ... ) # S3 method for benchmarked_hazard_ratios html_table(x, ...)
object | A |
---|---|
benchmarks | A data frame containing benchmark hazard ratios, potentially by group. It must |
benchmark_lower | The column identifier for the lower confidence limit of the benchmark hazard ratio. |
benchmark_upper | The column identifier for the upper confidence limit of the benchmark hazard ratio. |
becnhmark_estimate | The column identifier for the benchmark hazard ratio estimate. |
A hazard_ratio
object that inherits from dplyr::tibble
.