analyse_milestone_survival {SimNPH}

Analyse the Dataset using difference or quotient of milestone survival

Description

Analyse the Dataset using difference or quotient of milestone survival

Usage

analyse_milestone_survival(
  times,
  what = "quot",
  level = 0.95,
  alternative = "two.sided"
)

Arguments

times

followup times at which the the survival should be compared

what

"quot" for quotient and "diff" for differnce of surival probabilities

level

confidence level for CI computation

alternative

alternative hypothesis for the tests "two.sided" or "one.sieded"

Details

The implementation from the nph package is used, see the documentation there for details.

alternative can be "two.sided" for a two sided test of equality of the summary statistic or "one.sided" for a one sided test testing H0: treatment has equal or shorter survival than control vs. H1 treatment has longer survival than control.

The data.frame returned by the created function includes the follwing columns:

• milestone_surv_ratio / milestone_surv_diff ratio or differnce of survival probabilities

• times followup times at which the the survival are compared

• N_pat number of patients

• N_evt number of events

• p p value for the H0 that the ratios are 1 or the differnce is 0 respectively

• alternative the alternative used

• milestone_surv_ratio_lower / milestone_surv_diff_lower upper/lower CI for the estimate

• milestone_surv_ratio_upper / milestone_surv_diff_upper upper/lower CI for the estimate

• CI_level the CI level used

Value

Returns an analysis function, that can be used in runSimulations

See Also

nph::nphparams

Examples

condition <- merge(
    assumptions_delayed_effect(),
    design_fixed_followup(),
    by=NULL
  ) |>
  head(1)
dat <- generate_delayed_effect(condition)
analyse_milestone_survival(3:5)(condition, dat)
analyse_milestone_survival(3:5, what="diff")(condition, dat)