Using interviewer random effects to remove selection bias from HIV prevalence estimates

[1] Boerma JT(2003)Estimates of HIV-1 prevalence from national population-based surveys as a new gold standard Lancet 362 1929-31

[2] Ghys PD(2012)National HIV prevalence estimates for sub-Saharan Africa: controlling selection bias with Heckman-type selection models Sex Transm Infect 88 i17-23

[3] Walker N(2006)HIV testing in national population-based surveys: experience from the Demographic and Health Surveys Bull World Health Organ 84 537-45

[4] Hogan DR(2008)Non-response bias in estimates of HIV prevalence due to the mobility of absentees in national population-based surveys: a study of nine national surveys Sex Transm Infect 84 i71-7

[5] Salomon JA(2008)Evaluation of bias in HIV seroprevalence estimates from national household surveys Sex Transm Infect 84 i63-70

[6] Canning D(2012)HIV status and participation in HIV surveillance in the era of antiretroviral treatment: a study of linked population-based and clinical data in rural South Africa Trop Med Int Health 17 e103-10

[7] Hammitt JK(2009)Refusal bias in HIV prevalence estimates from nationally representative seroprevalence surveys AIDS 23 621-9

[8] Zaslavsky AM(2013)Underestimation of HIV prevalence in surveys when some people already know their status, and ways to reduce the bias AIDS 27 233-42

[9] Bärnighausen T(2010)Nonresponse in repeat population-based voluntary counseling and testing for HIV in rural Malawi Demography 47 651-65

[10] Mishra V(2011)Efficient Probit Estimation with Partially Missing Covariates Adv Econ 27 209-45

[1] Boerma JT(2003)Estimates of HIV-1 prevalence from national population-based surveys as a new gold standard Lancet 362 1929-31

[2] Ghys PD(2012)National HIV prevalence estimates for sub-Saharan Africa: controlling selection bias with Heckman-type selection models Sex Transm Infect 88 i17-23

[3] Walker N(2006)HIV testing in national population-based surveys: experience from the Demographic and Health Surveys Bull World Health Organ 84 537-45

[4] Hogan DR(2008)Non-response bias in estimates of HIV prevalence due to the mobility of absentees in national population-based surveys: a study of nine national surveys Sex Transm Infect 84 i71-7

[5] Salomon JA(2008)Evaluation of bias in HIV seroprevalence estimates from national household surveys Sex Transm Infect 84 i63-70

[6] Canning D(2012)HIV status and participation in HIV surveillance in the era of antiretroviral treatment: a study of linked population-based and clinical data in rural South Africa Trop Med Int Health 17 e103-10

[7] Hammitt JK(2009)Refusal bias in HIV prevalence estimates from nationally representative seroprevalence surveys AIDS 23 621-9

[8] Zaslavsky AM(2013)Underestimation of HIV prevalence in surveys when some people already know their status, and ways to reduce the bias AIDS 27 233-42

[9] Bärnighausen T(2010)Nonresponse in repeat population-based voluntary counseling and testing for HIV in rural Malawi Demography 47 651-65

[10] Mishra V(2011)Efficient Probit Estimation with Partially Missing Covariates Adv Econ 27 209-45