A comparison of missing data procedures for addressing selection bias in HIV sentinel surveillance data

[1]  L. Dandona,et al.  Assessment of population-level effect of Avahan, an HIV-prevention initiative in India , 2011, The Lancet.

[2]  Sa Azin,et al.  An overview on the 2008 UNAIDS Report on the 2008 UNAIDS Report on the Global AIDS Epidemic. , 2010 .

[3]  J. Carpenter,et al.  Issues in multiple imputation of missing data for large general practice clinical databases , 2010, Pharmacoepidemiology and drug safety.

[4]  R. Mikolajczyk,et al.  Time Trends and Regional Differences in the Prevalence of HIV Infection Among Women Attending Antenatal Clinics in 2 Provinces in Cameroon , 2009, Journal of acquired immune deficiency syndromes.

[5]  S. Seubsman,et al.  Validity of self-reported weight, height, and body mass index among university students in Thailand: Implications for population studies of obesity in developing countries , 2009, Population health metrics.

[6]  J. Garcia-Calleja,et al.  Advances and future directions in HIV surveillance in low- and middle-income countries , 2009, Current opinion in HIV and AIDS.

[7]  M. Kenward,et al.  Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls , 2009, BMJ : British Medical Journal.

[8]  P. Moszynski Surgical checklist reduces complications by one third , 2009, BMJ : British Medical Journal.

[9]  Tara S. Beattie,et al.  Declines in risk behaviour and sexually transmitted infection prevalence following a community-led HIV preventive intervention among female sex workers in Mysore, India , 2008, AIDS.

[10]  N. Nagelkerke,et al.  Impact of an intensive HIV prevention programme for female sex workers on HIV prevalence among antenatal clinic attenders in Karnataka state, south India: an ecological analysis , 2008, AIDS.

[11]  E. Gouws,et al.  Comparison of adult HIV prevalence from national population-based surveys and antenatal clinic surveillance in countries with generalised epidemics: implications for calibrating surveillance data , 2008, Sexually Transmitted Infections.

[12]  L. Marum,et al.  Evidence for population level declines in adult HIV prevalence in Kenya , 2006, Sexually Transmitted Infections.

[13]  N. Walker,et al.  A global analysis of trends in the quality of HIV sero-surveillance , 2004, Sexually Transmitted Infections.

[14]  Geoff P Garnett,et al.  Estimating the global burden of HIV/AIDS: what do we really know about the HIV pandemic? , 2004, The Lancet.

[15]  J. Sampalis,et al.  Selection bias found in interpreting analyses with missing data for the prehospital index for trauma. , 2004, Journal of clinical epidemiology.

[16]  N. Lazar,et al.  Statistical Analysis With Missing Data , 2003, Technometrics.

[17]  Roderick J. A. Little,et al.  Statistical Analysis with Missing Data: Little/Statistical Analysis with Missing Data , 2002 .

[18]  R. Coutinho,et al.  Decline in Prevalence of HIV‐1 Infection and Syphilis Among Young Women Attending Antenatal Care Clinics in Addis Ababa, Ethiopia: Results From Sentinel Surveillance, 1995‐2001 , 2002, Ethiopian medical journal.

[19]  N. Walker,et al.  Epidemiological analysis of the quality of HIV sero-surveillance in the world: how well do we track the epidemic? , 2001, AIDS.

[20]  A. Unaids Vancouver AIDS conference: special report. The epidemic now: current status and latest trends of HIV / AIDS in Africa -- a consensus update. , 1996, AIDS analysis Africa.

[21]  Organización Mundial de la Salud,et al.  Towards universal access: scaling up priority HIV/AIDS interventions in the health sector. Progress report 2009 , 2009 .

[22]  Summary TOWARDS UNIVERSAL ACCESS : Scaling up Priority HIV / AIDS Interventions in the Health Sector Progress Report , 2008 .