Print Method for Sequential Analysis Summaries

Formats an object returned by simsummary_fast in the style of a group-sequential design report. After a header with the simulation count and the boundary settings, two look-by-look tables are shown: a stopping-boundary table (information fraction, events, sample size, the efficacy and futility boundaries, and the cumulative efficacy crossing probability) and an analysis-timing table (sample size, events, dropouts, pipeline, analysis time, and the per-look efficacy and futility crossing probabilities). An overall block reports the rejection rate and the expected counts and timing at the stopping look.

Usage

# S3 method for class 'simsummary_fast'
print(x, digits = 4, ...)

Arguments

x

An object of class "simsummary_fast" from simsummary_fast.

digits

A single positive integer, the number of decimal places used for the printed probabilities. Defaults to 4.

...

Further arguments, currently ignored.

Value

The object x, invisibly.

Details

Column labels follow the convention of group-sequential design software: Events (s), Sample (n), Dropouts (d), Pipeline (the enrolled count minus events minus dropouts), Analysis Time (mean calendar time), and Info. Frac. (the information fraction, computed as the mean events at a look divided by the mean events at the final look, or from look.value when no event count is available). Probabilities are printed to digits decimal places and counts and times to fewer. Because the summary is a Monte Carlo estimate under a single data-generating truth, it does not carry the separate null and alternative columns or the alpha and beta spending of an analytic design report. The underlying object is an ordinary data frame, so the unrounded values remain available by subsetting it directly.

See also

simsummary_fast.