Sentence examples for observed miss from inspiring English sources

Based on observed miss rates [ 27- 29], we modeled the probability of missing an adenoma or cancer given its size as P miss|size = s and s< 20 mm) = 0.34-0.035 s + 0.0009 s, where s is adenoma diameter in mm.

"You know how to behave," observed Miss Williams, who drew a line on the blackboard.

Multiple imputation yields valid results under the condition that there are no systematic differences between the missing values and the observed values (missing completely at random) or if systematic differences between missing and observed values can be explained by differences in observed data (missing at random).

This approach can be extended to cases in which multiple variables have missing values, where the sample is split into cases with a given variable observed, or missing.

The other extreme occurs when all event occurrences are detected, thereby making the observed event miss-ratio equal to zero.

This is because the distributional comparison based on a 50 50 split of observed to missing data is more powerful than either an 80 20 or a 20 80 split for the same overall sample size.

In the case of a continuous partially observed variable, missing data are imputed using standard MI assuming MAR, and then the imputed values in each imputed datasets are shifted (i.e. add or multiply δ pm, a pattern-mixture model sensitivity parameter, to each of the imputed values) in such a way that they represent the MNAR mechanism.

The (correctly specified) analysis model was Y=θ0+θ2 X2+θ3 X3+θ4 X4+θ23 X2 X3+ e, where E(e ∣ X2, X3, X4) = 0. Variables X1 and Y were always observed; X2 and X3 were both observed or both missing.

*Type 0 matches linear predictors for observed and missing values; type 1 uses a draw of parameters for missing values before matching; type 2 uses a draw of parameters for both observed and missing.

However it is not clear from this definition whether MAR requires this condition for the observed pattern of missing data or for all possible patterns of missing data under repeated sampling.

Although there are no available tests for the MAR assumption, the plausibility of this assumption increases if observed variables related to both the likelihood of missingness and the values of other observed variables without missing data are used in the analytical model [ 76].