HIV incidence declines in a rural South African population: a G-imputation approach for inference
Ad hoc assumptions about the unobserved infection event, which is known only to occur between the latest-negative and earliest-positive test dates, can lead to biased HIV incidence rate estimates. Using a G-imputation approach, we infer the infection dates from covariate data to estimate the HIV inc...
Gespeichert in:
| Hauptverfasser: | , , , , |
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| Dokumenttyp: | Article (Journal) |
| Sprache: | Englisch |
| Veröffentlicht: |
06 August 2020
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| In: |
BMC public health
Year: 2020, Jahrgang: 20, Pages: 1-9 |
| ISSN: | 1471-2458 |
| DOI: | 10.1186/s12889-020-09193-4 |
| Online-Zugang: | Verlag, kostenfrei, Volltext: https://doi.org/10.1186/s12889-020-09193-4 |
| Verfasserangaben: | Alain Vandormael, Diego Cuadros, Adrian Dobra, Till Bärnighausen and Frank Tanser |
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| 520 | |a Ad hoc assumptions about the unobserved infection event, which is known only to occur between the latest-negative and earliest-positive test dates, can lead to biased HIV incidence rate estimates. Using a G-imputation approach, we infer the infection dates from covariate data to estimate the HIV incidence rate in a hyper-endemic South African setting. | ||
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