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Filtering by: Advisor Lesser, Virginia Remove constraint Advisor: Lesser, Virginia Subject Missing observations (Statistics) Remove constraint Subject: Missing observations (Statistics)

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  • Neural network imputation : a new fashion or a good tool

    Creator:
    Amer, Safaa R.
    Abstract:
    Most statistical surveys and data collection studies encounter missing data. A common solution to this problem is to discard observations with missing data while reporting the percentage of missing observations in different output tables. Imputation is a tool used to fill in the missing values. This dissertation introduces the missing...
    Resource Type:
    Dissertation
    Full Text:
    dissertation possible. First and foremost, I would like to thank my advisor Dr. Virginia Lesser, who helped me

  • Propensity score adjustments using covariates in observational studies

    Creator:
    Yang, Daniel K.
    Abstract:
    In this thesis we develop a theoretical framework for the identification of situations where the equal frequency (EF) or equal variance (EV) subclassification may produce lower bias and/or variance of the estimator. We conduct simulation studies to examine the EF and EV approaches under different types of model misspecification. We...
    Resource Type:
    Dissertation
    Full Text:
    gratitude to my advisors, Dr. Virginia M. Lesser and Dr. Alix I. Gitelman for their patience, persistence