View source: R/pvalue_maxcombo.R

pvalue_maxcombo | R Documentation |

`pvalue_maxcombo()`

computes p-values for the MaxCombo test
based on output from `simtrial::tenFHcorr()`

.
This is still in an experimental stage and is intended for use with
the `simtrial::sim_fixed_n()`

trial simulation routine.
However, it can also be used to analyze clinical trial data such as that provided in the
ADaM ADTTE format.

```
pvalue_maxcombo(
Z,
dummy_var,
algorithm = GenzBretz(maxpts = 50000, abseps = 1e-05)
)
```

`Z` |
a dataset output from |

`dummy_var` |
a dummy input that allows |

`algorithm` |
This is passed directly to the |

A numeric p-value

```
library(tidyr)
library(tibble)
library(dplyr)
# example 1
x <- sim_fixed_n(nsim = 1,
timingType = 5,
rg = tibble(rho = c(0, 0, 1),
gamma = c(0, 1, 1)))
head(x)
pvalue_maxcombo(x)
# example 2
# Only use cuts for events, events + min follow-up
xx <- sim_fixed_n(nsim = 100,
timingType = 5,
rg = tibble(rho = c(0, 0, 1),
gamma = c(0, 1, 1)))
head(xx)
# MaxCombo power estimate for cutoff at max of targeted events, minimum follow-up
p <- xx %>% group_by(Sim) %>% group_map(pvalue_maxcombo) %>% unlist()
mean(p < .025)
```

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