Sentence examples for multiple imputation in from inspiring English sources

For subjects with missing values on physical activity index (n = 342), smoking status (n = 21), smoking intensity (n = 106), duration of diabetes (n = 410) or education (n = 273), values were imputed with multiple imputation in which 5 duplicate datasets were sampled, with the missing values replaced by imputed values.

To maximise our statistical power, we used multiple imputation in SPSS 19.0 to impute missing FSM data (Table  1) and the individual diet variables described below.

For approaches b) through e), estimators are the mean and variance of the logarithm of the observed and imputed data, with adjustment for multiple imputation in b).

We used multiple imputation in Stata as described previously 26 to impute several data at baseline: math score (n=1), outmigration of father (n=24), outmigration of mother (n=41), family wealth (n=145), education level of father (n=14), education of mother (n=23), and awareness of being myopic (n=20).

Missing data was handled by performing multiple imputation in which the candidate explanatory factors previously described were imputed on the basis of each other using chained imputation [ 19].

Although a preliminary evaluation has been conducted using Bayesian multiple imputation in the empirical software engineering domain, this is the first work to provide a thorough and detailed analysis of this technique.

Because 26% of the sample had unknown residual disease status, we used multiple imputations in the primary analysis.We identified 6,013 women with stage IIIC and IV high-grade serous, 307 with clear cell, and 140 with mucinous histology.

We applied blinding to treatment allocation for data collection, data entry, and analysis, and applied intention to treat analyses with multiple imputations in data analyses.

For internal validation, such as crossvalidation or split-sample validation, it may be most appropriate to draw multiple imputations in the whole dataset before separating the derivation and validation samples (approach V1 in Table 7) (O'Mahony et al., 2014).

Missing values were imputed using the multiple imputation option in SPSS 21.

Missing data will be imputed using the multiple imputation routines in STATA v11.