Because artifacts can cause weakly false-positive microscopy results, and in accordance with Peruvian policy for acid-fast microscopy, all microscopy was considered positive if ≥10 objects with the appearance of M. tuberculosis were seen [ 21].
Additionally, the ProQuest two-hybrid system was used because the low copy CEN plasmids may decrease the probability of obtaining weakly interacting false positives that could result from high concentrations of the two-hybrid proteins.
The low percentage (50%) of true positives from MHC class I and CD83 may be due to weakly hybridizing false-positives, which appeared only after long film exposures.
While serology from this patient was weakly positive, false-positive serologic results or remote infection cannot be excluded; thus, he is considered a possible case-patient.
Of course this law and many other standard logical principles remain weakly valid i.e., not false on any model and it is possible to construct a logic based on weak validity rather than ordinary validity.
Higher stringency in QTL selection can eliminate false QTLs but also weakly linked true QTLs.
Given that only one out of a total of 319 samples tested positive for PRRS antibodies, the weakly positive result was interpreted as false positive.
Considering that the weakly expressed transcripts could result in false AS identification [ 2], highly expressed transcripts with an expression level higher than 5% of the most abundant transcript were subsequently used as the basis for follow up analysis.
From these observations, we see that, in general, the false positive genes are weakly connected to the rest of the true positive genes, which explains why they were not included as part of the noise group.
The belief that the dialysis staff supported the patients with coping with the disease (definitely true or mostly true versus do not know, mostly false or definitely false) was weakly associated (not statistically significant) with lower odds of non-adherence in the minimally (OR, 0.62; 95% CI, 0.25-1.50) and extensively adjusted logistic regression models (OR, 0.67; 95% CI, 0.26-1.70).
This procedure prevents possible false positive results arising from weakly supported clusters, and distinguishes between transmission clusters and superinfection cases.
