diagnosis_survival: Survival probability for RITA Screening

In fellstat/recent: Incidence Estimation Using Recency Assays

Survival probability for RITA Screening

Description

Survival probability for RITA Screening

Usage

diagnosis_survival(
  undiagnosed,
  tslt,
  ever_hiv_test,
  hiv,
  weights,
  n = 365 * 5,
  population = c("undiagnosed", "negative")
)

Arguments

undiagnosed	A logical vector indicating if an individual has never been diagnosed as HIV+.
tslt	Time since last test in days
ever_hiv_test	A logical vector indicating whether an individual has ever had an HIV test
hiv	HIV positive status.
weights	Survey weights
n	Number of days to calculate
population	If undiagnosed, the testing histories of undiagnosed HIV+ people are used. If negative, the HIV- population is used.

Value

A vector where the ith element is the probability that an individual infected i days ago has not been diagnosed.

Examples

  data("assay_data")
  diagnosis_survival(
    assay_data$undiagnosed,
    assay_data$tslt,
    assay_data$ever_hiv_test,
    assay_data$hiv,
    assay_data$weights,
    n=40)

fellstat/recent documentation built on April 12, 2022, 3:10 p.m.