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

Mansour FahimiElizabeth C HairElizabeth K DoJennifer M KreslakeXiaolu YanElisa ChanFrances M BarlasAbigail GilesLarry Osborn
Published in: JMIR public health and surveillance (2024)
The new realities of the digital age have brought about a number of resilient challenges for survey researchers, which in turn have exposed some of the inefficiencies associated with the traditional methods this community has relied upon for decades. The resilience of such challenges suggests that piecemeal approaches that may have limited applicability or restricted accessibility will prove to be inadequate and transient. It is from this perspective that our proposed method of composite weighting has aimed to introduce a durable and accessible solution for hybrid sample surveys.
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