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The standard way of reducing sampling bias is to weight the sample so that it matches the population as a whole.
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This index has the additional advantage of reducing sampling biases, as it considers a species as specialized, only when it interacts very frequently with another species that has a few other partners in the network.
In fact, although we agree that more genes must be included in future analysis, reducing sampling biases due to a scarcity of characters (a goal which we are pursuing), we are of the opinion that Acariformes have been largely underrepresented in previous analyses.
However, we attempted to reduce sampling bias by advertising this survey as a general exercise and lifestyle study, thereby minimizing selection as a function of health status, and made our survey available to a large unselected group of potential participants.
This essentially reduced the number of pathogen genomes that were highly similar (e.g. multiple strains of a pathogen) and thus reduced sampling bias.
Lastly, the study used RDS method for data collection and hence to reduce sampling bias.
This reduces sampling bias and the need to replace missing data.
We selected two drosophilae (Drosophila melanogaster and Drosophila virilis) to reduce sampling bias.
Tissue sampling needs to be assessed with tumour genomic heterogeneity kept in mind to reduce sampling bias.
Given that the online panel survey is non-probabilistic using these weights is recommended to reduce sampling bias [ 17].
Participating counties were selected due to geographical and demographical diversity in an effort to reduce sampling bias.
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