Sequential Sampling (SS) prevalence estimator by Gile (2011)

Source: R/study_estimators.R

Sequential Sampling (SS) prevalence estimator by Gile (2011)

get_study_est_ss(
  data,
  sampling_var = "hidden",
  hidden_var = "target",
  n_coupons = 3,
  total = 1000,
  prefix = "rds",
  label = "ss"
)

Arguments

data

pass-through population data frame

sampling_var

character string specifying name of the group from which RDS sample was drawn (associated probability of visibility should be named p_visible_[sampling_var]). Defaults to "hidden" for the simulations

hidden_var

character string specifying names of the hidden group variable name (associated probability of visibility should be named p_visible_[hidden_var]). Defaults to "target" for the simulations

n_coupons

The number of recruitment coupons distributed to each enrolled subject (i.e. the maximum number of recruitees for any subject). By default it is taken by the attribute or data, else the maximum recorded number of coupons.

total

integer giving the total size of known population (denominator for prevalence)

prefix

character prefix used for RDS sample variables

label

character string describing the estimator

Value

Data frame of SS prevalence estimates for a single study

References

Gile, Krista J. 2011 Improved Inference for Respondent-Driven Sampling Data with Application to HIV Prevalence Estimation, Journal of the American Statistical Association, 106, 135-146. Gile, Krista J., Handcock, Mark S., 2010 Respondent-driven Sampling: An Assessment of Current Methodology, Sociological Methodology, 40, 285-327.