HIGHLIGHTS
- who: Isaac H. Goldstein and collaborators from the Department of Statistics, University of California, Irvine, California, United States of America, German have published the Article: Using genetic data to identify transmission risk factors: Statistical assessment and application to tuberculosis transmission, in the Journal: (JOURNAL) of April/23,/2022
- what: The authors show that increasing the proportion of sampled cases improves sensitivity and some but not all properties of the logistic regression inference. The aim of this study is to better understand the use of these pipelines in disease surveillance contexts by evaluating the performance of . . .
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