Common use of Imputation Methodologies Clause in Contracts

Imputation Methodologies. The predictive mean matching imputation method was used to impute missing expenditures. This procedure uses regression models (based on events with completely reported expenditure data) to predict total expenses for each event. Then, for each event with missing payment information, a donor event with the closest predicted payment with the same pattern of expected payment sources as the event with missing payment was used to impute the missing payment value. The imputations for the flat fee events were carried out separately from the simple events. The weighted sequential hot-deck procedure was used to impute the missing total charges. This procedure uses survey data from respondents to replace missing data while taking into account the persons’ weighted distribution in the imputation process.

Appears in 12 contracts

Samples: meps.ahrq.gov, meps.ahrq.gov:443, www.meps.ahrq.gov

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Imputation Methodologies. The predictive predicted mean matching imputation method was used to impute missing expenditures. This procedure uses regression models (based on events with completely reported expenditure data) to predict total expenses for each event. Then, for each event with missing payment information, a donor event with the closest predicted payment with the same pattern of expected payment sources as the event with the missing payment was used to impute the missing payment value. The imputations for the flat fee events were carried out separately from the simple events. The A weighted sequential hot-deck procedure was used to impute the missing total charges. This procedure uses survey data from respondents to replace missing data data, while taking into account the persons’ weighted distribution in the imputation process.

Appears in 3 contracts

Samples: meps.ahrq.gov, meps.ahrq.gov, meps.ahrq.gov

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Imputation Methodologies. The predictive mean matching imputation method was used to impute missing expenditures. This procedure uses regression models (based on events with completely reported expenditure data) to predict total expenses for each event. Then, for each event with missing payment information, a donor event with the closest predicted payment with the same pattern of expected payment sources as the event with the missing payment was used to impute the missing payment value. The imputations for the flat fee events were carried out separately from the simple events. The A weighted sequential hot-deck procedure was used to impute the missing total charges. This procedure uses survey data from respondents to replace missing data data, while taking into account the persons’ weighted distribution in the imputation process.

Appears in 2 contracts

Samples: staging-meps.ahrq.gov, meps.ahrq.gov:443

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