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Selection and Misclassification Biases in Longitudinal Studies
Using imperfect tests may lead to biased estimates of disease frequency and measures of association. Many studies have looked into the effect of misclassification on statistical inferences. These evaluations were either within a cross-sectional study framework, assessing biased prevalence, or for co...
Tallennettuna:
| Julkaisussa: | Front Vet Sci |
|---|---|
| Päätekijät: | , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Frontiers Media S.A.
2018
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5985700/ https://ncbi.nlm.nih.gov/pubmed/29892604 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fvets.2018.00099 |
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