Correcting for selection bias in HIV prevalence estimates: an application of sample selection models using data from population‐based HIV surveys in seven sub‐Saharan African countries
Sign Up to like & getrecommendations! Published in 2022 at "Journal of the International AIDS Society"
DOI: 10.1002/jia2.25954
Abstract: Population‐based biomarker surveys are the gold standard for estimating HIV prevalence but are susceptible to substantial non‐participation (up to 30%). Analytical missing data methods, including inverse‐probability weighting (IPW) and multiple imputation (MI), are biased when… read more here.
Keywords: prevalence estimates; prevalence; population based; selection models ... See more keywords
Tracing studies in cohorts with attrition: Selection models for efficient sampling.
Sign Up to like & getrecommendations! Published in 2018 at "Statistics in medicine"
DOI: 10.1002/sim.7646
Abstract: Cohort studies of chronic diseases involve recruitment and longitudinal follow-up of affected individuals with a view to studying the effect of risk factors on disease progression and death. When the time to withdrawal from the… read more here.
Keywords: selection models; tracing studies; efficient sampling; cohorts attrition ... See more keywords
Combining selection models and population structures to inform fisheries management: a case study on hake in the Mediterranean bottom trawl fishery
Sign Up to like & getrecommendations! Published in 2020 at "Mediterranean Marine Science"
DOI: 10.12681/mms.22191
Abstract: The reduction of juvenile catch and discards are important targets in fisheries policy. This work examines how selection models can predict the size structure (LFD) of discards and landings considering the effects of area, time… read more here.
Keywords: fisheries management; selection models; trawl fishery; selection ... See more keywords