vartrack_samplesize_prev {phylosamp}

Calculate sample size needed for estimating variant prevalence given a desired confidence

Description

This function calculates the sample size needed for estimating variant prevalence given a desired confidence and desired precision in the variant prevalence estimate. Currently, only cross-sectional sampling is supported.

Usage

vartrack_samplesize_prev(
  p_v1,
  prob,
  precision,
  omega,
  c_ratio = 1,
  sampling_freq
)

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)

sampling_freq

the sampling frequency (must be 'xsect' in current implementation)

Value

scalar of sample size

Author(s)

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

See Also

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

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_xsect()

Examples

vartrack_samplesize_prev(p_v1 = 0.1, prob = 0.95, precision = 0.25, 
omega = 0.8, c_ratio = 1, sampling_freq = 'xsect')