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In particular, if analyses are meant to provide concrete policy advice we must be especially wary that substantive findings do not arise from biased inference.
8 Bijwaard (2010) mentions that ignoring a non-zero percentage of permanent migrants will lead to biased inference applying Hazard models, however, the MMP does not have enough information for me to distinguish permanent migrants from others.
Even more importantly, the use of the
Results: We show that the common methods of handling qPCR non-detects lead to biased inference.
Second, due to the primary objective of the survey to evaluate malaria related care, the inclusion of only febrile patients may have biased inference of results more towards malaria patients.
The best protection against biased inference in the presence of nonignorable missing data is the use of multiple imputation, although with a high proportion of values below the DL, a large number of measurements are needed.
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The results reported above establish that BI produces biased inferences under extreme conditions on small trees.
Our results indicate that BI as currently practiced with such priors produces strongly biased inferences of topology under certain conditions.
Phylogenetics, with its hierarchical branching structure, presents a peculiar realm of statistical analysis, where mistaking noise for signal and integrating over uncertainty about nuisance parameters can lead to systematically biased inferences.
The frailty model is suitable for studying these recurrent events and prevents biased inferences [ 11].
Some studies point out that when applied to zero-inflated data the spatial scan statistic may produce biased inferences.
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