Design and analysis of response selective samples in observational studies
2011 (English)Doctoral thesis, comprehensive summary (Other academic)
Outcome dependent sampling may increase efficiency in observational studies. It is however not always obvious how to sample efficiently, and how to analyze the resulting data without introducing bias. This thesis describes a general framework for efficiency calculations in multistage sampling, with focus on what is sometimes referred to as ascertainment sampling. A method for correcting for the sampling scheme in analysis of ascertainment samples is also presented. Simulation based methods are used to overcome computational issues in both efficiency calculations and analysis of data.
Place, publisher, year, edition, pages
Stockholm: Department of Mathematics, Stockholm University , 2011. , 68 p.
ascertainment, missing data, outcome dependent sampling, response selective samples, sequential design, stochastic EM algorithm
Probability Theory and Statistics
Research subject Mathematical Statistics
IdentifiersURN: urn:nbn:se:su:diva-49328ISBN: 978-91-7447-201-1OAI: oai:DiVA.org:su-49328DiVA: diva2:377687
2011-02-04, sal 14, hus 5, Kräftriket, Roslagsvägen 101, Stockholm, 10:00 (English)
Reilly, Marie, Professor
Hössjer, Ola, ProfessorHumphreys, Keith, Associate professor
At the time of doctoral defense, the following paper was unpublished and had a status as follows: Paper 1: Submitted.2011-01-132010-12-132011-05-26Bibliographically approved
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