These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

181 related articles for article (PubMed ID: 25643102)

  • 1. On the assumption of bivariate normality in selection models: a Copula approach applied to estimating HIV prevalence.
    McGovern ME; Bärnighausen T; Marra G; Radice R
    Epidemiology; 2015 Mar; 26(2):229-37. PubMed ID: 25643102
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Using interviewer random effects to remove selection bias from HIV prevalence estimates.
    McGovern ME; Bärnighausen T; Salomon JA; Canning D
    BMC Med Res Methodol; 2015 Feb; 15():8. PubMed ID: 25656226
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Correcting HIV prevalence estimates for survey nonparticipation using Heckman-type selection models.
    Bärnighausen T; Bor J; Wandira-Kazibwe S; Canning D
    Epidemiology; 2011 Jan; 22(1):27-35. PubMed ID: 21150352
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Adjusting HIV prevalence estimates for non-participation: an application to demographic surveillance.
    McGovern ME; Marra G; Radice R; Canning D; Newell ML; Bärnighausen T
    J Int AIDS Soc; 2015; 18(1):19954. PubMed ID: 26613900
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Validation, replication, and sensitivity testing of Heckman-type selection models to adjust estimates of HIV prevalence.
    Clark SJ; Houle B
    PLoS One; 2014; 9(11):e112563. PubMed ID: 25402333
    [TBL] [Abstract][Full Text] [Related]  

  • 6. National HIV prevalence estimates for sub-Saharan Africa: controlling selection bias with Heckman-type selection models.
    Hogan DR; Salomon JA; Canning D; Hammitt JK; Zaslavsky AM; Bärnighausen T
    Sex Transm Infect; 2012 Dec; 88 Suppl 2(Suppl_2):i17-23. PubMed ID: 23172342
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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.
    Palma AM; Marra G; Bray R; Saito S; Awor AC; Jalloh MF; Kailembo A; Kirungi W; Mgomella GS; Njau P; Voetsch AC; Ward JA; Bärnighausen T; Harling G
    J Int AIDS Soc; 2022 Aug; 25(8):e25954. PubMed ID: 35929226
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Accounting for non-response bias using participation incentives and survey design: An application using gift vouchers.
    McGovern ME; Canning D; Bärnighausen T
    Econ Lett; 2018 Oct; 171():239-244. PubMed ID: 30294055
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Copula selection models for non-Gaussian outcomes that are missing not at random.
    Gomes M; Radice R; Camarena Brenes J; Marra G
    Stat Med; 2019 Feb; 38(3):480-496. PubMed ID: 30298525
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Studying dynamics of the HIV epidemic: population-based data compared with sentinel surveillance in Zambia.
    Fylkesnes K; Ndhlovu Z; Kasumba K; Mubanga Musonda R; Sichone M
    AIDS; 1998 Jul; 12(10):1227-34. PubMed ID: 9677172
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A general instrumental variable framework for regression analysis with outcome missing not at random.
    Tchetgen Tchetgen EJ; Wirth KE
    Biometrics; 2017 Dec; 73(4):1123-1131. PubMed ID: 28230909
    [TBL] [Abstract][Full Text] [Related]  

  • 12. National South African HIV prevalence estimates robust despite substantial test non-participation.
    Harling G; Moyo S; McGovern ME; Mabaso M; Marra G; Bärnighausen T; Rehle T
    S Afr Med J; 2017 Jun; 107(7):590-594. PubMed ID: 29025448
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Reducing uncertainties in global HIV prevalence estimates: the case of Zambia.
    Dzekedzeke K; Fylkesnes K
    BMC Public Health; 2006 Apr; 6():83. PubMed ID: 16579863
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Estimating HIV pre-exposure prophylaxis need and impact in Malawi, Mozambique and Zambia: A geospatial and risk-based analysis.
    Stelzle D; Godfrey-Faussett P; Jia C; Amiesimaka O; Mahy M; Castor D; Hodges-Mameletzis I; Chitembo L; Baggaley R; Dalal S
    PLoS Med; 2021 Jan; 18(1):e1003482. PubMed ID: 33428611
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Combining national survey with facility-based HIV testing data to obtain more accurate estimate of HIV prevalence in districts in Uganda.
    Ouma J; Jeffery C; Valadez JJ; Wanyenze RK; Todd J; Levin J
    BMC Public Health; 2020 Mar; 20(1):379. PubMed ID: 32293367
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Implications of the HIV testing protocol for refusal bias in seroprevalence surveys.
    Reniers G; Araya T; Berhane Y; Davey G; Sanders EJ
    BMC Public Health; 2009 May; 9():163. PubMed ID: 19476618
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Refusal bias in the estimation of HIV prevalence.
    Janssens W; van der Gaag J; Rinke de Wit TF; Tanović Z
    Demography; 2014 Jun; 51(3):1131-57. PubMed ID: 24788481
    [TBL] [Abstract][Full Text] [Related]  

  • 18. The adult prevalence of HIV in Zambia: results from a population based mobile testing survey conducted in 2013-2014.
    Chanda-Kapata P; Kapata N; Klinkenberg E; William N; Mazyanga L; Musukwa K; Kawesha EC; Masiye F; Mwaba P
    AIDS Res Ther; 2016; 13():4. PubMed ID: 26793264
    [TBL] [Abstract][Full Text] [Related]  

  • 19. The epidemiology of HIV infection in Zambia.
    Kandala NB; Ji C; Cappuccio PF; Stones RW
    AIDS Care; 2008 Aug; 20(7):812-9. PubMed ID: 18608086
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Towards 90-90: Findings after two years of the HPTN 071 (PopART) cluster-randomized trial of a universal testing-and-treatment intervention in Zambia.
    Floyd S; Ayles H; Schaap A; Shanaube K; MacLeod D; Phiri M; Griffith S; Bock P; Beyers N; Fidler S; Hayes R;
    PLoS One; 2018; 13(8):e0197904. PubMed ID: 30096139
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.