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This paper is in the following e-collection/theme issue:

Statistical Methods for Surveillance and Population Health (249) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (1723) New Methods (1748) Data Science (683)

Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48186, first published .
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Improving the Efficiency of Inferences From Hybrid Samples for Effective Health Surveillance Surveys: Comprehensive Review of Quantitative Methods

Improving the Efficiency of Inferences From Hybrid Samples for Effective Health Surveillance Surveys: Comprehensive Review of Quantitative Methods

Authors of this article:

Mansour Fahimi1 Author Orcid Image ;   Elizabeth C Hair2 Author Orcid Image ;   Elizabeth K Do2 Author Orcid Image ;   Jennifer M Kreslake2 Author Orcid Image ;   Xiaolu Yan3 Author Orcid Image ;   Elisa Chan3 Author Orcid Image ;   Frances M Barlas3 Author Orcid Image ;   Abigail Giles3 Author Orcid Image ;   Larry Osborn3 Author Orcid Image
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  1. Callander D, McManus H, Ogilvie E, Bateson D, Fisher C, Gunaratnam P, Grulich A, Hammoud M, Heywood W, Hocking J, Rissel C, Vaughan C, de Visser R, Yeung A, Carter A, Guy R, Power J. Design and methods of the Third Australian Study of Health and Relationships (ASHR3): a nationally representative sexual and reproductive health survey. Sexual Health 2026;23(4) View