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imputation

imputation

1 9.3
A method that fills in missing genetic information using other sample data
  • noun
  • /ˌɪmpjuˈteɪʃən/
  • Specialized
translation icon : imputación
  • In their study, the team explained the imputation process used to infer unobserved genotypes from available samples.
  • multiple imputation
  • data imputation
  • imputation procedure

Examples

  • The researchers used a robust statistical method for imputation to fill in the missing genetic data.

  • The NCHS performed consistency checks and imputation of numerous variables.

    Academic text (2011)
  • All available information has been used to estimate a good imputation model.

    Academic text (2015)
  • The numbers would not add up correctly if imputation were not done.

    Academic text (2010)
  • In Table 3, the description of the imputation approach is provided for different attributes.

    Academic text (2016)
  • No additional data imputation was conducted for the present analyses.

    Academic text (2015)
  • In these cases, missing data were replaced using a multiple imputations replacement procedure.

    Academic text (2010)
  • Results reported from the confirmatory factor analyses and predictive model are from multiple imputation.

    Academic text (2013)
  • Convergence of the imputation routine was assessed by inspecting diagnostic plots.

    Academic text (2011)
  • In such cases, values were substituted using the mean-value imputation method (Kalton, 1983).

    Academic text (2000)

Surface Forms

imputation singular
imputations plural

Morphology

imputation = impute (semi-transparent) = impute + ion

Formally the noun is derived from 'impute', but the statistical/genetic meaning ('infer or assign missing data') is a specialized technical extension not obvious to general learners.

Etymology

The word imputation in genetics and statistics keeps the same idea from Latin imputare ('in' + 'to reckon'): it is like 'putting in' a guessed value by careful counting or thought. That's why researchers use imputation to fill in missing data or genetic details that were not directly seen.