get_calendartime_gsnb: Calendar time of data looks

In gscounts: Group Sequential Designs with Negative Binomial Outcomes

Description

Calculate the calendar time of looks given the information time

Usage

get_calendartime_gsnb(
  rate1,
  rate2,
  dispersion,
  t_recruit1,
  t_recruit2,
  timing,
  followup1,
  followup2
)

Arguments

rate1	numeric; rate in treatment group 1
rate2	numeric; rate in treatment group 2
dispersion	numeric; dispersion (shape) parameter of negative binomial distribution
t_recruit1	numeric vector; recruit (i.e. study entry) times in group 1
t_recruit2	numeric vector; recruit (i.e. study entry) times in group 2
timing	numeric vector with entries in (0,1]; information times of data looks
followup1	numeric vector; final individual follow-up times in treatment group 1
followup2	numeric vector; final individual follow-up times in treatment group 2

Value

numeric; vector with calendar time of data looks

Examples

# Calendar time at which 50%, 75%, and 100% of the maximum information is attained
# 100 subjects in each group are recruited uniformly over 1.5 years
# Study ends after two years, i.e. follow-up times vary between 2 and 0.5 years 
get_calendartime_gsnb(rate1 = 0.1, 
                      rate2 = 0.125, 
                      dispersion = 5, 
                      t_recruit1 = seq(0, 1.5, length.out = 100), 
                      t_recruit2 = seq(0, 1.5, length.out = 100),
                      timing = c(0.5, 0.75, 1),
                      followup1 = seq(2, 0.5, length.out = 100),
                      followup2 = seq(2, 0.5, length.out = 100)) 

gscounts documentation built on Nov. 2, 2021, 9:07 a.m.