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Sentence examples for missing value indicator from inspiring English sources

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Exact(8)

In addition, we performed sensitivity analyses substituting missing data with a missing value indicator variable, and by using complete case analyses restricted to participants with known values of all covariates.

In sensitivity analyses, associations were comparable when missing data were modeled using missing value indicator categories; when restricted to a complete case analysis; and when additionally adjusted for BMI, PSA screening history, family history of PCa, or chlordecone exposure (see Supplemental Material, Table S4).

Results of sensitivity analyses were comparable with the primary analysis when missing data were modeled using missing value indicator categories; when we performed complete case analyses; and when BMI, PSA screening history, family history of PCa, or chlordecone exposure were included in the full model (see Supplemental Material, Table S3).

We incorporated a missing value indicator to the multivariable models if the number of women with missing information on covariates was >100 or assigned missing information to the reference or the past user category, if applicable.

A missing value indicator was incorporated in the outcome models for covariates if the number of participants with missing information was ≥100.

The models were reanalysed incorporating a missing value indicator in the outcome models for covariates if the number of participants with missing information was greater or equal to 100.

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Similar(52)

Other quality control mechanisms (such as missing value indicators and quality control states) can further aid data reconciliation and standardization.

A little reflection indicates that the missing truth-value indicators in the diagram are all 'F's.

Other socioeconomic indicators also have missing value are education (2.6%) and income (13.8%).

For each practice the percentages of patients with a positive score on indicators were assessed; patients with a missing value were excluded for this outcome measure.

In order to create a regression model, 1 2 indicators were selected from each subcategory (Additional file 1 ) proportional to the number of the indicators in each subcategory and based on the least missing value and the highest correlation with MMR.

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