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Estimate baseline parameters in the Gumbel–Hougaard model described in base for sample size calculation using pilot study data.

Usage

gumbel.est(id, time, status)

Arguments

id

A vector of unique patient identifiers.

time

A numeric vector of event times.

status

A vector of event type variable; 2 = nonfatal event, 1 = death, and 0 = censoring.

Value

A list containing lambda_D for \(\lambda_D\), lambda_H for \(\lambda_H\), and kappa for \(\kappa\) in the Gumbel–Hougaard model.

References

Mao, L., Kim, K. and Miao, X. (2021). Sample size formula for general win ratio analysis. Biometrics, https://doi.org/10.1111/biom.13501.

See also

Examples

# see the example for WRSS