Sentence examples for alleviate sampling bias from inspiring English sources

The phrase "alleviate sampling bias" is correct and usable in written English.
It can be used in contexts related to research, statistics, or data collection where the goal is to reduce or eliminate bias in sampling methods.
Example: "To improve the validity of our study, we implemented several strategies to alleviate sampling bias."
Alternatives: "reduce sampling bias" or "mitigate sampling bias".

Exact(1)

In order to alleviate sampling bias, Pro-CLARA repeats the sampling and the clustering process a pre-defined number of times, q, and subsequently selects as the final clustering result the set of medoids with the maximal f (V).

Similar(59)

Second, it fills this substantial gap using well designed, large, nationally representative samples, alleviating sampling bias and other methodological concerns.

Thus, it has been suggested that combination of templates from different levels of MNase digestion may alleviate biased sampling of mononucleosome populations [ 58].

The use of paired samples alleviate the bias associated with interindividual variation; for example, comparison of expression profile of tumours prior to and following systemic chemotherapy allowed the identification of differentially expressed genes correlated with chemoresistance in ovarian carcinomas.

A concern is taxon sampling bias in the close group, an issue that can be alleviated by properly defining grouping scenario and masking redundant taxonomic groups using HGTector's flexible functionality (see Methods - Computational pipeline).

Our analysis provides proof that the resampling strategy does not alleviate potential problems due to sampling biases.

Pant: Two words: Sampling bias.

Sampling bias may produce models trained on data that is not fully representative of future cases.

Sampling bias shows only the people who take great efforts to go public.

Sampling bias in small populations can result in a non-adaptive evolutionary phenomenon called genetic drift.

The referendum narrowly passed, demonstrating the importance of sampling bias in accurately predicting election results.

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