Assessment of Internal Validity of Prognostic Models through Bootstrapping and Multiple Imputation of Missing Data

Assessment of Internal Validity of Prognostic Models through Bootstrapping and Multiple Imputation of Missing Data

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Background: Prognostic models have clinical appeal to aid therapeutic decision making. Two main practical challenges in development of such models are assessment of validity of models and imputation of missing data. In this study, importance of imputation of missing data and application of bootstrap...

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Bibliographic Details
Main Authors: MR Baneshi, A Talei
Format: Article
Language:English
Published: Tehran University of Medical Sciences 2012-05-01
Series:Iranian Journal of Public Health
Subjects:
Missing data
Multiple imputation
Bootstrap
Breast neoplasm
Internal validity
Online Access:https://ijph.tums.ac.ir/index.php/ijph/article/view/2581

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