Using interviewer random effects to remove selection bias from HIV prevalence estimates

Research article (BMC Medical Research Methodology, 2015) · cited 24× · AI/ML
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Using interviewer random effects to remove selection bias from HIV prevalence estimates

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Using interviewer random effects to remove selection bias from HIV prevalence estimates is a scholarly article[1].

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  • Using interviewer random effects to remove selection bias from HIV prevalence estimates's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Using interviewer random effects to remove selection bias from HIV prevalence estimates. Retrieved May 24, 2026, from https://4ort.xyz/entity/using-interviewer-random-effects-to-remove-selection-bias-from-hiv-prevalence-estimates
MLA “Using interviewer random effects to remove selection bias from HIV prevalence estimates.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/using-interviewer-random-effects-to-remove-selection-bias-from-hiv-prevalence-estimates.
BibTeX @misc{4ortxyz_using-interviewer-random-effects-to-remove-selection-bias-from-hiv-prevalence-estimates_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Using interviewer random effects to remove selection bias from HIV prevalence estimates}}, year = {2026}, url = {https://4ort.xyz/entity/using-interviewer-random-effects-to-remove-selection-bias-from-hiv-prevalence-estimates}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Using interviewer random effects to remove selection bias from HIV prevalence estimates — https://4ort.xyz/entity/using-interviewer-random-effects-to-remove-selection-bias-from-hiv-prevalence-estimates (retrieved 2026-05-24)

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