Calculate sample size needed for variant prevalence estimation under cross-sectional sampling

This function calculates the sample size needed for estimating variant prevalence given a desired confidence and desired precision in the variant prevalence estimate and assuming a single, cross-sectional sample of detected infections.

vartrack_samplesize_prev_xsect(p_v1, prob, precision, omega, c_ratio = 1)

Arguments

p_v1

variant prevalence (proportion)

prob

desired confidence in variant prevalence estimate

precision

desired precision in variant prevalence estimate

omega

probability of sequencing (or other characterization) success

c_ratio

coefficient of detection ratio, calculated as the ratio of the coefficients of variant 1 to variant 2. Default = 1 (no bias)

Value

scalar of sample size

See also

Other variant prevalence estimation functions: vartrack_prob_prev_xsect(), vartrack_prob_prev(), vartrack_samplesize_prev()

Other variant tracking functions: vartrack_cod_ratio(), vartrack_prob_detect_cont(), vartrack_prob_detect_xsect(), vartrack_prob_detect(), vartrack_prob_prev_xsect(), vartrack_prob_prev(), vartrack_samplesize_detect_cont(), vartrack_samplesize_detect_xsect(), vartrack_samplesize_detect(), vartrack_samplesize_prev()

Author

Shirlee Wohl, Elizabeth C. Lee, Bethany L. DiPrete, and Justin Lessler

Examples

vartrack_samplesize_prev_xsect(p_v1 = 0.1, prob = 0.95, precision = 0.25, omega = 0.8, c_ratio = 1)
#> [1] 691.4626