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Time-to-event endpoint data

Source: R/data_tte.R
data_tte.Rd

Summarizes the data of one group for a time-to-event endpoint by the sufficient statistics of the exponential model: the number of events and the total observed time (the sum over subjects of the time from entry to the event or censoring). Used for observed proof-of-concept data, external data and hypothetical control data.

Usage

data_tte(events, exposure)

Arguments

events

Number of events (a whole number of at least 0).

exposure

Total observed time (positive), in the same unit as the milestone time of the design.

Value

An object of class c("qdm_data_tte", "qdm_data") with elements events and exposure.

Details

With exponential event times and independent censoring, the likelihood of the hazard \(\lambda\) is proportional to \(\lambda^d \exp(-\lambda E)\) for \(d\) events and total observed time \(E\), so these two numbers are all that the analysis needs.

See also

Other data: data_binary(), data_binary2(), data_continuous(), data_continuous2()

Examples

data_tte(events = 5, exposure = 40)
#> Data: time-to-event, events = 5, exposure = 40