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Likelihood based estimation in case of missing causes of failure have been studied [5], [6], [7], [8], [9].
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Even in the case of missing causes, we recommend the use of Ukm1 for testing independence against PQD.
Patients were excluded in case of missing colpotomy time.
In case of missing data, listwise deletion of missing cases was applied.
In case of missing covariates, due to missing questionnaire data, multiple imputation will be used [ 81].
In case of missing data, missing variables were excluded from both numerator and denominator.
In case of missing answers, respondents were approached.
We contacted the trial authors in case of missing data.
In case of missing data, proxies can be used.
In case of missing data points, values will be imputed.
In case of missing information, corresponding authors were contacted.
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