1.Hagan, H et al. (2006) Self-reported hepatitis C virus antibody status and risk behavior in young injectors. Public Health Reports 121, 710–719.
2.Soulier, A et al. (2015) Dried blood spots: a tool to ensure broad access to hepatitis C screening, diagnosis, and treatment monitoring. The Journal of Infectious Diseases 213, 1087–1095.
3.Dokubo, EK et al. (2014) Comparison of hepatitis C virus RNA and antibody detection in dried blood spots and plasma specimens. Journal of Clinical Virology 59, 223–227.
4.Vyse, A et al. (2006) Interpreting serological surveys using mixture models: the seroepidemiology of measles, mumps and rubella in England and Wales at the beginning of the 21st century. Epidemiology and Infection 134, 1303–1312.
5.Tuaillon, E et al. (2010) Dried blood spot for hepatitis C virus serology and molecular testing. Hepatology 51, 752–758.
6.Kafatos, G et al. (2016) Is it appropriate to use fixed assay cut-offs for estimating seroprevalence? Epidemiology and Infection 144, 887–895.
7.Bollaerts, K et al. (2012) Estimating the population prevalence and force of infection directly from antibody titres. Statistical Modelling 12, 441–462.
8.Léon, L et al. (2017) Age-and time-dependent prevalence and incidence of hepatitis C virus infection in drug users in France, 2004–2011: model-based estimation from two national cross-sectional serosurveys. Epidemiology and Infection 145, 895–907.
9.Weill-Barillet, L et al. (2016) Hepatitis C virus and HIV seroprevalences, sociodemographic characteristics, behaviors and access to syringes among drug users, a comparison of geographical areas in France, ANRS-Coquelicot 2011 survey. Revue d'Épidémiologie et de Santé Publique 64, 301–312.
10.Vink, MA et al. (2015) Estimating seroprevalence of human papillomavirus type 16 using a mixture model with smoothed age-dependent mixing proportions. Epidemiology 26, 8–16.
11.Léon, L, Jauffret-Roustide, M and Le Strat, Y (2015) Design-based inference in time-location sampling. Biostatistics (Oxford, England) 16, 565–579.
12.Plummer, M (2003) , p. 125.
13.Bickel, P and Doksun, KA (1977) Mathematical Statistics: Basic Ideas and Selected Topics. San Francisco: Holden-Day.
14.Horvitz, DG and Thompson, DJ (2015) A generalization of sampling without replacement from a finite universe. Journal of American Statistical Association 47, 663–685.
15.Rambaud, L and Fillol, C (2017) Élaboration de valeurs de référence en population générale à partir d’études avec biomarqueurs. Archives des Maladies Professionnelles et de l'Environnement 78, 175–181.
16.Xia, Q et al. (2006) The effect of venue sampling on estimates of HIV prevalence and sexual risk behaviors in men who have sex with men. Sexually Transmitted Diseases 33, 545–550.
17.Snijdewind, IJ et al. (2012) Current and future applications of dried blood spots in viral disease management. Antiviral Research 93, 309–321.
18.Arnaud, A et al. (2016) Prevalences of scabies and pediculosis corporis among homeless people in the Paris region: results from two randomized cross-sectional surveys (HYTPEAC study). British Journal of Dermatology 174, 104–112.
19.van Loo, IH et al. (2017) Screening for HIV, hepatitis B and syphilis on dried blood spots: a promising method to better reach hidden high-risk populations with self-collected sampling. PLoS ONE 12, e0186722.
20.White, B et al. (2008) Acceptability of hepatitis C virus testing methods among injecting drug users. Drug and Alcohol Review 27, 666–670.
21.Gay, N et al. (2003) Improving sensitivity of oral fluid testing in IgG prevalence studies: application of mixture models to a rubella antibody survey. Epidemiology and Infection 130, 285–291.
22.Woestenberg, PJ et al. (2016) Herpes simplex virus type 1 and type 2 in the Netherlands: seroprevalence, risk factors and changes during a 12-year period. BMC Infectious Diseases 16, 364.
23.Trang, N et al. (2015) Determination of cut-off cycle threshold values in routine RT–PCR assays to assist differential diagnosis of norovirus in children hospitalized for acute gastroenteritis. Epidemiology and Infection 143, 3292–3299.
24.Rota, MC et al. (2008) Measles serological survey in the Italian population: interpretation of results using mixture model. Vaccine 26, 4403–4409.
25.Del Fava, E et al. (2016) Estimating age-specific immunity and force of infection of varicella zoster virus in Norway using mixture models. PLoS ONE 11, e0163636.
26.Ades, A et al. (2017) Proportion of tubal factor infertility due to Chlamydia: finite mixture modeling of serum antibody titers. American Journal of Epidemiology 185, 124–134.