Handling Missing Value: Imputation and the Alternatives

• In Event: Friday Roundtable Session 4:55 pm
  In Roundtable Session: Machine Learning, Statistical Software, and Data-Driven Analytics (Table 32)

Abstract

Datasets containing missing values are not uncommon. Treatments of missing value could be ignoring, deletion, or imputation depending on the missing size, data type, and purpose of the analysis. Using one licensure exam, this study implemented an imputation method to fill the missing value. As an alternative, this study dichotomously coded a variable with missing values. Datasets containing dichotomously coded or imputed values were analyzed using different models. A comparison between imputation and alternative treatments was discussed

Authors

• Yi Lu, The Federation of State Boards of Physical Therapy

• Yu Zhang, The Federation of State Boards of Physical Therapy

• Lorin Mueller, FSBPT