Confidence intervals for prevalence estimates from complex surveys with imperfect assays.
Stat Med
; 42(11): 1822-1867, 2023 05 20.
Article
in English
| MEDLINE | ID: covidwho-2251537
ABSTRACT
There are established methods for estimating disease prevalence with associated confidence intervals for complex surveys with perfect assays, or simple random sample surveys with imperfect assays. We develop and study methods for the complicated case of complex surveys with imperfect assays. The new methods use the melding method to combine gamma intervals for directly standardized rates and established adjustments for imperfect assays by estimating sensitivity and specificity. One of the new methods appears to have at least nominal coverage in all simulated scenarios. We compare our new methods to established methods in special cases (complex surveys with perfect assays or simple surveys with imperfect assays). In some simulations, our methods appear to guarantee coverage, while competing methods have much lower than nominal coverage, especially when overall prevalence is very low. In other settings, our methods are shown to have higher than nominal coverage. We apply our method to a seroprevalence survey of SARS-CoV-2 in undiagnosed adults in the United States between May and July 2020.
Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
SARS-CoV-2
/
COVID-19
Type of study:
Diagnostic study
/
Observational study
/
Randomized controlled trials
Limits:
Adult
/
Humans
Language:
English
Journal:
Stat Med
Year:
2023
Document Type:
Article
Affiliation country:
Sim.9701
Similar
MEDLINE
...
LILACS
LIS