create_survdist: Create object survdist

In godwinyung/mmsurv: Multiple measures for the comparison of two survival curves

Description

Create object with complete survival assumptions (accrual, survival, and censoring distribution).

Usage

create_survdist(size, accrual_time = NA, accrual_dist = "uniform",
  accrual_param = NA, follow_time = NA, total_time = Inf,
  surv_median = NA, surv_exphazard = NA, surv_milestone = NA,
  loss_rate = NA, loss_median = NA, loss_exphazard = NA,
  loss_milestone = NA)

Arguments

size	Sample size.
accrual_time	Duration of accrual.
accrual_dist	Accrual distribution. Default is 'uniform'. Alternatively, 'truncexp' allows for a truncated exponetial distribution as proposed by Lachin and Foulkes (1986). Depending on the value of accrual_param, this distribution is either convex or concave.
accrual_param	Parameter for accrual distribution. Used only if accrual_dist='truncexp'. For accrual_param>0, the accrual distribution is convex, whereas for accrual_param<0, the accrual distribution is concave.
follow_time	Duration of follow-up.
total_time	Total duration of study.
surv_median	Median for exponential survival distribution.
surv_exphazard	Hazard rate for exponential survival distribution.
surv_milestone	Vector of time and milestone survival.
loss_rate	Rate of patients lost to follow-up (probability).
loss_median	Median for exponential censoring distribution.
loss_exphazard	Hazard rate for exponential censoring distribution.
loss_milestone	Vector of time and milestone censoring.

Value

An object with classes "list" and "survdist".

References

Lachin, J. M. and Foulkes, M. A. (1986) Evaluation of sample size and power for analyses of survival with allowance for nonuniform patient entry, losses to follow-up, noncompliance, and stratification. Biometrics, 42, 507-519.

Examples

example <- create_survdist(450, accrual_time=24, total_time=36,
surv_median=6, loss_rate=0.2)
class(example)

godwinyung/mmsurv documentation built on May 5, 2019, 12:32 p.m.