Analytical methods used in estimating the prevalence of HIV/AIDS from demographic and cross-sectional surveys with missing data: a systematic review

Implementation of Instrumental Variable Bounds for Data Missing Not at Random

(2018) Jessica R. Marden et al.   EPIDEMIOLOGY

Bootstrap inference when using multiple imputation

(2018) Michael Schomaker et al.   STATISTICS IN MEDICINE

On Inverse Probability Weighting for Nonmonotone Missing at Random Data

(2017) BaoLuo Sun et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

A Simultaneous Equation Approach to Estimating HIV Prevalence With Nonignorable Missing Responses

(2016) Giampiero Marra et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION

Empirical likelihood method for non-ignorable missing data problems

(2016) Zhong Guan et al.   LIFETIME DATA ANALYSIS

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

(2015) Mark E McGovern et al.   BMC Medical Research Methodology

Multiple imputation for non-response when estimating HIV prevalence using survey data

(2015) Amos Chinomona et al.   BMC PUBLIC HEALTH

On the Assumption of Bivariate Normality in Selection Models

(2015) Mark E. McGovern et al.   EPIDEMIOLOGY

Adjusting HIV prevalence estimates for non-participation: an application to demographic surveillance

(2015) Mark E. McGovern et al.   Journal of the International AIDS Society

HIV estimates at second subnational level from national population-based surveys

(2014) Joseph Larmarange et al.   AIDS

Comparison of Random Forest and Parametric Imputation Models for Imputing Missing Data Using MICE: A CALIBER Study

(2014) Anoop D. Shah et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

Population Size, HIV, and Behavior Among MSM in Luanda, Angola

(2014) Carl Kendall et al.   JAIDS-JOURNAL OF ACQUIRED IMMUNE DEFICIENCY SYNDROMES

Bayesian Two-Part Tobit Models with Left-Censoring, Skewness, and Nonignorable Missingness

(2014) Getachew A. Dagne et al.   Journal of Biopharmaceutical Statistics

Validation, Replication, and Sensitivity Testing of Heckman-Type Selection Models to Adjust Estimates of HIV Prevalence

(2014) Samuel J. Clark et al.   PLoS One

The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement: Guidelines for reporting observational studies

(2014) Erik von Elm et al.   International Journal of Surgery

Increase of new HIV diagnoses among men who have sex with men in Poland, 2000 to 2011

(2013) M Rosinska et al.   Eurosurveillance

Using panel data for partial identification of human immunodeficiency virus prevalence when infection status is missing not at random

(2013) Bruno Arpino et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY

HIV prevalence measurement in household surveys

(2012) Eline L. Korenromp et al.   AIDS

HIV among MSM in a large middle-income country

(2012) Ligia R.F.S. Kerr et al.   AIDS

Underestimation of HIV prevalence in surveys when some people already know their status, and ways to reduce the bias

(2012) Sian Floyd et al.   AIDS

Missing Data

(2012) Iris Eekhout et al.   EPIDEMIOLOGY

Assessing risk of bias in prevalence studies: modification of an existing tool and evidence of interrater agreement

(2012) Damian Hoy et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY

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

(2012) T. Bärnighausen et al.   TROPICAL MEDICINE & INTERNATIONAL HEALTH

HIV with contact tracing: a case study in approximate Bayesian computation

(2010) M. G. B. Blum et al.   BIOSTATISTICS

Measuring the HIV/AIDS Epidemic: Approaches and Challenges

(2010) R. Brookmeyer   EPIDEMIOLOGIC REVIEWS

Adjustment for Missing Data in Complex Surveys Using Doubly Robust Estimation

(2010) Kathleen E. Wirth et al.   EPIDEMIOLOGY

Correcting HIV Prevalence Estimates for Survey Nonparticipation Using Heckman-type Selection Models

(2010) Till Bärnighausen et al.   EPIDEMIOLOGY

A systematic review of tools used to assess the quality of observational studies that examine incidence or prevalence and risk factors for diseases

(2010) Tatyana Shamliyan et al.   JOURNAL OF CLINICAL EPIDEMIOLOGY

Adjusting HIV Prevalence for Survey Non-Response Using Mortality Rates: An Application of the Method Using Surveillance Data from Rural South Africa

(2010) Makandwe Nyirenda et al.   PLoS One

Flexible Regression Model Selection for Survival Probabilities: With Application to AIDS

(2009) A. Gregory DiRienzo   BIOMETRICS

Implications of the HIV testing protocol for refusal bias in seroprevalence surveys

(2009) Georges Reniers et al.   BMC PUBLIC HEALTH

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

(2008) M Marston et al.   SEXUALLY TRANSMITTED INFECTIONS

Bayesian melding for estimating uncertainty in national HIV prevalence estimates

(2008) L Alkema et al.   SEXUALLY TRANSMITTED INFECTIONS

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) E Gouws et al.   SEXUALLY TRANSMITTED INFECTIONS

Evaluation of bias in HIV seroprevalence estimates from national household surveys

(2008) V Mishra et al.   SEXUALLY TRANSMITTED INFECTIONS

Comparison of HIV prevalence estimates from antenatal care surveillance and population-based surveys in sub-Saharan Africa

(2008) L S Montana et al.   SEXUALLY TRANSMITTED INFECTIONS

Individual, household and community factors associated with HIV test refusal in rural Malawi

(2008) Katharina Kranzer et al.   TROPICAL MEDICINE & INTERNATIONAL HEALTH