Find Minimum Sample Size for Target Detection Power
Source:R/truefind_asymptotic.R
find_required_sample_size.RdDetermines the minimum subgroup sample size needed to achieve a target detection probability for a given true hazard ratio.
Usage
find_required_sample_size(
theta,
target_power = 0.8,
prop_cens = 0.3,
hr_threshold = 1.25,
hr_consistency = 1,
n_range = c(20L, 500L),
tol = 1,
verbose = TRUE
)Arguments
- theta
Numeric. True hazard ratio in subgroup.
- target_power
Numeric. Target detection probability (0-1). Default: 0.80
- prop_cens
Numeric. Proportion censored. Default: 0.3
- hr_threshold
Numeric. HR threshold. Default: 1.25
- hr_consistency
Numeric. HR consistency threshold. Default: 1.0
- n_range
Integer vector of length 2. Range of sample sizes to search. Default: c(20, 500)
- tol
Numeric. Tolerance for bisection search. Default: 1
- verbose
Logical. Print progress. Default: TRUE
Value
A list with:
- n_sg_required
Minimum sample size (rounded up)
- achieved_power
Actual detection probability at n_sg_required
- theta
Input hazard ratio
- target_power
Input target power
Examples
if (FALSE) { # \dontrun{
# Find sample size for 80% power to detect HR = 1.5
result <- find_required_sample_size(
theta = 1.5,
target_power = 0.80,
prop_cens = 0.2
)
print(result)
} # }