vartrack_prob_prev {phylosamp}

Calculate confidence in a variant estimate given a sample size

Description

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

Usage

vartrack_prob_prev(p_v1, n, omega, precision, c_ratio = 1, sampling_freq)

Arguments

p_v1

variant prevalence (proportion)

n

sample size

omega

probability of sequencing (or other characterization) success

precision

desired precision in variant prevalence estimate

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 either 'xsect' in current implementation)

Value

scalar of expected 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_samplesize_prev_xsect(), 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_samplesize_detect_cont(), vartrack_samplesize_detect_xsect(), vartrack_samplesize_detect(), vartrack_samplesize_prev_xsect(), vartrack_samplesize_prev()

Examples

vartrack_prob_prev(p_v1 = 0.1, n = 200, omega = 0.8, precision = 0.1, 
c_ratio = 1, sampling_freq = 'xsect')