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We assume that individuals in the validation subsample are randomly selected and hence representative.
Assume that X i is only observed in the validation subsample which is chosen at the baseline under the ignorable missing mechanism condition (Rubin 1976).
If only a few random partitions are tested, some observations may never be selected in the validation subsample, whereas others may be selected more than once.
Similar(57)
The characteristics of subjects in the model building subsample and the validation subsample were similar with no significant differences between groups (Table 1).
First, the complete dataset (n = 7,187) was randomly split into two subsamples, the Evaluation subsample (n = 3593) and the Validation subsample (n = 3594).
The Evaluation subsample and the Validation subsample were compared for similarities using t-tests for continuous variables and Chi-Square tests for categorical variables.
Further, this method does not fully utilize the observations in the non-validation subsample and hence cannot be efficient in certain situations.
Also, we observed a strong correlation in the cross-validation subsample (r = 0.905, P < 0.01).
(2) The regression coefficients from step 1 were used to calculate the partial deviance for the respective validation subsample, that is, to assess how well the outcomes in that subsample were predicted by a given model (Binquet et al, 2008).
In this paper we use Cox's regression model to fit failure time data with continuous informative auxiliary variables in the presence of a validation subsample.
Their method is applicable only for the case where a validation subsample is available for determining the misclassification probabilities.
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