Sarah Lotspeich

Publications

• Self-audits as alternatives to travel-audits for improving data quality in the Caribbean, Central and South America network for HIV epidemiology
• Incidence and neighborhood-level determinants of child welfare involvement
• Efficient semiparametric inference for two‐phase studies with outcome and covariate measurement errors
• Efficient odds ratio estimation under two‐phase sampling using error‐prone data from a multi‐national HIV research cohort
• Two‐phase sampling designs for data validation in settings with covariate measurement error and continuous outcome
• Correcting conditional mean imputation for censored covariates and improving usability
• The Role of External Genital Lesions in Human Immunodeficiency Virus Seroconversion Among Men Participating in a Multinational Study
• Optimal multiwave validation of secondary use data with outcome and exposure misclassification
• Lessons learned from over a decade of data audits in international observational HIV cohorts in Latin America and East Africa
• Three‐phase generalized raking and multiple imputation estimators to address error‐prone data
• Quantifying the HIV reservoir with dilution assays and deep viral sequencing
• The impact of earthquakes in Latin America on the continuity of HIV care: A retrospective observational cohort study
• Ensemble learning to predict opioid-related overdose using statewide prescription drug monitoring program and hospital discharge data in the state of Tennessee
• Making Sense of Censored Covariates: Statistical Methods for Studies of Huntington's Disease
• It takes more than a machine: A pilot feasibility study of point-of-care HIV-1 viral load testing at a lower-level health center in rural western Uganda
• The “Why” behind including “Y” in your imputation model
• Should regression calibration or multiple imputation be used when calibrating different devices in a longitudinal study?
• Extrapolation before imputation reduces bias when imputing censored covariates
• Extrapolation Before Imputation Reduces Bias When Imputing Censored Covariates
• Combining Straight‐Line and Map‐Based Distances to Investigate the Connection Between Proximity to Healthy Foods and Disease