Carry out log rank test — fitLogrank • TrialSimulator

Compute log rank test statistic on an endpoint.

Refer to this vignette for more information and examples.

Usage

fitLogrank(formula, placebo, data, alternative, ..., tidy = TRUE)

formula: An object of class formula that can be used with survival::coxph. Must consist arm and endpoint in data. No covariate is allowed. Stratification variables are supported and can be added using strata(...).
placebo: character. String of placebo in data$arm.
data: data frame. Usually it is a locked data.
alternative: a character string specifying the alternative hypothesis, must be one of "greater" or "less", i.e., one-sided test is enforced. No default value. "greater" means superiority of treatment over placebo is established by an hazard ratio greater than 1.
...: subset condition that is compatible with dplyr::filter. survival::coxph with ties = "exact" will be fitted on this subset only. This argument could be useful to create a subset of data for analysis when a trial consists of more than two arms. By default it is not specified, all data will be used to fit the model. More than one conditions can be specified in ..., e.g., fitLogrank(formula, data, arm %in% c('pbo', 'low dose'), x > 0.5), which is equivalent to fitLogrank(formula, data, arm %in% c('pbo', 'low dose') & x > 0.5). Note that if more than one treatment arm are present in the data after applying filter in ..., models are fitted for placebo verse each of the treatment arms.
tidy: logical. FALSE if more information are returned. Default TRUE.

a data frame with three columns: