Sentence examples for missing data etc from inspiring English sources

Exact(2)

The 11 included trials were of variable methodological quality; the major methodological defects being the failure to provide details of allocation concealment, addressing the missing data etc.

The lack of detectable morphological differences among Cubitermes species is not surprising in view of the data in the taxonomic literature, which imply that the genus is highly complex (great number of species, synonymy, missing data, etc).

Similar(58)

As for the read import step, missing data (species, chromosome, etc).

Existing service selection models employ random assignment of weights to the QoS attributes, replacement of missing data by random values, etc. which results in an inaccurate ranking of the CSPs.

The self-administered questionnaires undergo the standard verifications: percentages of non-response, missing data, delay in return, etc.

The self-administered questionnaires will undergo the standard verifications: percentages of non-response, missing data, delay in return, etc.

2. Selection bias: occurs when one conditions on a common effect (e.g. Berkson's Bias, loss to follow-up, missing data, healthy worker bias, etc) such that there is now a conditional association between the exposure and the outcome.

Data collection and Data preparation: includes selection of relevant variables to be considered and inclusion and exclusion criteria, data representation, missing data analysis, outlier detection and treatment, etc 2. Prior Expert Knowledge (PEK): acquisition and design of the Prior Knowledge Base (PKB).

Representativeness and generalization of the results to the entire MSM population in Norway might not be feasible, as Internet sampling is subject to selection bias, misrepresentation as a member of the sampled population, repeated participation, missing data, inability to gather biological specimens etc. [ 9].

The need for complementary interviews with farmers, hauliers etc. will vary depending on the amount of missing data and time from the movement occurred until data is available in the database.

Eliminating the graduates with missing data elements and those with atypical campus assignments (e.g., repeating students, transfers, etc).

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