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

Statistical Methods for Surveillance and Population Health (158) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (851) New Methods (964) Data Science (278)

Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48186, first published .
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

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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