Choosing profile double-sampling designs for survival estimation with application to President's Emergency Plan for AIDS Relief evaluation

• Published in: Statistics in medicine Vol. 33; no. 12; pp. 2017 - 2029
• Main Authors: An, Ming-Wen, Frangakis, Constantine E., Yiannoutsos, Constantin T.
• Format: Journal Article
• Language: English
• Published: England Blackwell Publishing Ltd 30.05.2014; Wiley Subscription Services, Inc
• Subjects: Acquired immune deficiency syndrome; Acquired Immunodeficiency Syndrome - mortality; AIDS; Algorithms; covariates; Disaster relief; double sampling; dropouts; Estimating techniques; HIV; Human immunodeficiency virus; Humans; International Cooperation; Kenya - epidemiology; loss to follow-up; Mathematical functions; Medical treatment; PEPFAR; potential outcomes; profile sampling; Research Design; Sampling Studies; Sampling techniques; survival; Survival Analysis; United States; Kenya; United States; United States > US; double sampling; dropouts; potential outcomes; HIV; loss to follow-up; survival; covariates; PEPFAR; profile sampling
• ISSN: 0277-6715; 1097-0258; 1097-0258
• DOI: 10.1002/sim.6087

Most studies that follow subjects over time are challenged by having some subjects who dropout. Double sampling is a design that selects and devotes resources to intensively pursue and find a subset of these dropouts, then uses data obtained from these to adjust naïve estimates, which are potentiall...